The search for your future starts here

What will your job look like:

• Algorithm development in the areas of computer vision (both classical and learning-based) and 3D reconstruction.
• You will develop primarily in Python, taking part in both maintaining existing products and developing new features.
• You will need to learn and develop new algorithms that can address new problems as they arise. 

All you need is:

• B.Sc. in Mathematics, Physics, or Computer Science (M.Sc. or Ph.D.- an advantage).

• 2+ years of experience in algorithm development, including academic or hands-on project experience, preferably in areas such as Computer Vision, multi-sensor reasoning, or 3D reconstruction.

• Strong problem-solving skills and ability to tackle complex, real-world challenges.

• Proficiency in Python and NumPy.

Nice to have:

• Hands-on experience with multi-view geometry.

• Background in statistical estimation.

The Position: AI Algorithm Engineer

What will your job look like:

• Develop and improve deep learning models for perception tasks such as object detection/tracking, semantic segmentation, etc.
• Work with large-scale driving datasets to train and evaluate machine learning models
• Optimize models for performance, accuracy, and robustness across diverse driving scenarios
• Analyze edge cases and failure modes to continuously improve perception performance
• Implement scalable training, validation, and evaluation methodologies

All you need is:

• Possess Ph.D. or M.S. in Computer Science, Electronic Engineering, or related fields
• Outstanding coding skills and proficient in algorithms with Python, C/C++, etc.
• Strong product background and hands on experiences in building product-quality computer vision, deep learning and general AI technologies. Intensive experience with at least one DL framework such as PyTorch or TensorFlow.
• Interested in and thoughtful about the diverse AI technology (CNNs, GNNs, transformer and different domains of detection, segmentation, LLM, AGI, etc.)
• Highly motivated self-starter/self-learner in full stack of technologies.
• Strong oral/written communication in Mandarin and English.

What will your job look like:

• Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems.
• Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks.
• Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning.
• Combine learning-based methods with classical optimization and geometric algorithms.
• Own the entire lifecycle from prototyping to deployment.
• Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions.
• Drive innovative solutions for high-precision localization at production scale.

All you need is:

• 2+ years of practical experience developing computer vision or machine learning solutions using Python and frameworks such as PyTorch or TensorFlow – must.
• B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance.
• Solid foundation in algorithms, data structures, and computer vision/deep learning fundamentals.
• Strong analytical skills, a sense of ownership, and the ability to work collaboratively.

What will your job look like:

• Design, develop, and optimize geometric and signal‑processing algorithms for large‑scale map creation systems.
• Implement and maintain production‑level Python code within a complex, large codebase.
• Analyze large datasets and build scalable solutions using scientific and big‑data tools.
• Take algorithms from research and prototyping through production deployment.
• Continuously research and develop new algorithmic approaches to address emerging challenges.
• May explore Graph Neural Network (GNN) based approaches to complement geometric algorithms.

All you need is:

• B.Sc. in Computer Science, Mathematics, Electrical Engineering, Physics, or a related field.
• 5+ years of experience working with large production codebases.
• 2+ years of experience developing scientific or data‑intensive applications in Python.
• Proven ability to solve complex problems.

Nice to have:

• Advanced degree (M.Sc. or Ph.D.).
• Experience in statistical estimation.

What will your job look like:

• Your job will include a combination of classic programming and algorithm development.
• You will develop in both C++ and python.
• You will need to both maintain the product and develop new features.
• Learn and develop new algorithms which can address new problems as they arise.

All you need is:

• B.Sc. in Mathematics, Physics, or Computer Science.
• Experience in development in C++.
• Proven ability to solve complex problems.

Nice to have:

• Advanced degree (M.Sc. or Ph.D.).
• Experience in Python and NumPy.
• Experience in statistical estimation.

What will your job look like:

• Your job will include a combination of classic programming and algorithm development.
• You will develop in both C++ and Python.
• You will need to both maintain the product and develop new features.
• You will need to learn and develop new algorithms that can address new problems as they arise.

All you need is:

• M.Sc. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a related field.
• Experience in development in C++ – a strong advantage.
• Proven ability to solve complex problems.

Nice to have:

• Experience in Python and NumPy.
• Experience in statistical estimation.

What will your job look like:

• Your job will include a combination of classic programming and algorithm development.
• You will develop in both C++ and python.
• You will need to both maintain the product and develop new features.
• You will need to learn and develop new algorithms which can address new problems as they arise.

All you need is:

• M.Sc. in Mathematics, Physics, or Computer Science.
• Experience in development in C++ – strong advantage.
• Proven ability to solve complex problems.

Nice to have:

• Experience in Python and NumPy.
• Experience in statistical estimation.

The Position:

What will your job look like:

• Develop and refine algorithms for detecting and modeling map features (e.g., geometry, semantic, etc.) from multi-modal sensor data.
• Implement spatial reasoning and topological mapping techniques to structure HD map layers.
• Create scalable pipelines for map data creation, optimization, and map updates using AI/ML models and traditional geometric approaches.
• Work on large-scale datasets from autonomous driving fleets to build, validate, and improve algorithms.
• Write clean, maintainable, testable code and conduct code reviews. Inspire others to be their best in daily job.

All you need is:

• Ph.D. or M.S. in Computer Science, Electronic Engineering, or related fields.
• Outstanding coding skills and proficient in algorithms with Python, C/C++, etc.
• Strong product background and hands on experiences in building product-quality computer vision, deep learning and general AI technologies. Intensive experience with at least one DL framework such as PyTorch and TensorFlow.
• 3+ years of experience in algorithm development for mapping, robotics, or computer vision applications
• Highly motivated self-starter/self-learner in full stack of technologies.
• Strong oral/written communication in Mandarin and English.

Nice to have:

• Experience with HD map structures, geospatial data processing, online/offline mapping/planning algorithms will be a plus (e.g., SLAM, MAPTR, VAD etc).
• Interested in and thoughtful about the diverse AI technology (CNNs, GNNs, transformer and different domains of detection, segmentation, LLM, AGI, etc.).

What will you job look like:

• Develop learning-based algorithms to reconstruct structured road vector data and next-generation map outputs using mass crowdsourced vehicle perception records and multi-modal sensor inputs.  
• Model road geometry, semantic features, lane connections and global road topology through spatial reasoning, topological learning networks and graph networks. 
• Combine deep learning and graph modeling with generative methods (e.g. diffusion, structured prediction) and 3D spatial reconstruction to tackle complex urban scene challenges. 
• Write standardized, maintainable and testable production code with Python/C++, participate in code review and drive team technical iteration. 

All you need is:

• Master or Ph.D. in Computer Science, Electronic Engineering, Robotics or related majors. 
•  2+ years algorithm development experience in computer vision, topological / graph learning, generative AI, spatial modeling, trajectory mining.
  
•  Comfortable with basic geometry and spatial data representation (coordinates, curves, connectivity). 
• Experience with at least one of: topological learning networks, generative models (diffusion / flow matching), or 3D point-cloud / scene reconstruction. 
• Solid programming and algorithm capabilities with Python or C/C++; proficient in at least one deep learning framework (PyTorch / TensorFlow preferred). 
• Fluent oral and written communication in both Mandarin and English, excellent team player. 

Nice-to-have

•  In-depth understanding of CNN, GNN, Transformer, object detection, semantic segmentation and generative AI. 
• Familiar with topological learning networks like MapTR, and related lane / road topology modeling methods. 
• Experience with diffusion models, generative AI, or structured output generation for maps, layouts, graphs, or splines. 

What will your job look like:

• Lead long-term applied research and POCs that determine the direction of our perception and autonomy technology.
• Design and implement modern end-to-end perception and multi-modal learning systems across diverse vision tasks (e.g., detection and tracking, 3D reconstruction, multi-camera fusion, motion prediction).
• Translate research innovations into high-quality, validated POCs designed for adoption by production teams and deployment within autonomous vehicle platforms.

All you need is:

• M.Sc. in Mathematics, Computer Science, Electrical Engineering, or related field (PhD - an advantage).
• 8+ years of hands-on experience developing computer vision and deep learning systems.
• Proven experience driving vision models from research through POC and into production.
• Able to take a vaguely-defined research direction and own it end-to-end, independently.
• Strong programming skills in Python.

Nice to have:

• Broad hands-on experience across vision tasks such as object detection and tracking, and 3D scene understanding.
• Technical leadership experience (team management experience an advantage).
• Experience in motion prediction, trajectory forecasting, behavior modeling, or learning-based navigation for autonomous systems.
• First-authored publications at leading peer-reviewed conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICML, ICLR).

What will your job look like:

• Research and develop innovative algorithms for autonomous driving planning and decision-making.
• Model complex real-world driving scenarios and formulate them as optimization, learning, or algorithmic problems.
• Apply a broad range of techniques - from mathematical modeling and classical algorithms to machine learning and deep learning - to improve driving policies.
• Analyze large-scale driving data to gain insights, validate hypotheses, and improve system robustness and performance.
• Design and implement high-quality production-ready code in a research-driven environment.
• Read, evaluate, and build upon state-of-the-art scientific literature in algorithms, AI, and machine learning.

All you need is:

• 5+ years of experience in algorithm development, machine learning, or AI research.
• Outstanding MSc in Computer Science, Computer Engineering, Mathematics, Physics, or a related quantitative field.
• PhD - an advantage.
• Strong programming skills in C++ and Python.
• Outstanding mathematical and analytical abilities.
• Passion for solving challenging research problems and the ability to quickly learn from scientific literature.

What will your job look like:

• Research and develop innovative algorithms for autonomous driving planning and decision-making.
• Model complex real-world driving scenarios and formulate them as optimization, learning, or algorithmic problems.
• Apply a broad range of techniques - from mathematical modeling and classical algorithms to machine learning and deep learning - to improve driving policies.
• Analyze large-scale driving data to gain insights, validate hypotheses, and improve system robustness and performance.
• Design and implement high-quality production-ready code in a research-driven environment.
• Read, evaluate, and build upon state-of-the-art scientific literature in algorithms, AI, and machine learning.

All you need is:

• 5+ years of experience in algorithm development, machine learning, or AI research.
• Outstanding MSc in Computer Science, Computer Engineering, Mathematics, Physics, or a related quantitative field.
• PhD - an advantage.
• Strong programming skills in C++ and Python.
• Outstanding mathematical and analytical abilities.
• Passion for solving challenging research problems and the ability to quickly learn from scientific literature.

What will your job look like?

• Lead a small and highly capable Deep Learning R&D team working on real-time computer vision models for Mobileye’s products.
• Provide technical leadership across the full deep learning development cycle, including data understanding, model design, training, evaluation, optimization, and production readiness.
• Drive goal-oriented research and development, balancing innovation with practical product needs, timelines, and delivery quality.
• Mentor, support, and develop team members, while creating a strong professional environment that encourages ownership, creativity, and continuous improvement.
• Break down complex and ambiguous problems into clear work plans, priorities, milestones, and execution steps.
• Collaborate closely with cross-functional teams to understand requirements, align expectations, and deliver effective solutions.
• Improve existing models and development flows to enhance accuracy, robustness, runtime performance, scalability, and product impact.
• Stay up to date with the latest advancements in deep learning, computer vision, AI architectures, and AI-based development tools, and apply relevant ideas to improve the team’s work.

All you need is:

• M.Sc. or outstanding B.Sc. in Computer Science, Mathematics, Physics, Engineering, or a related field.
• Leadership experience, management experience, or significant technical experience combined with strong potential and motivation to grow into a management role.
• Strong professional background in Computer Vision and Deep Learning.
• Hands-on experience developing deep learning algorithms using Python frameworks such as PyTorch or TensorFlow.
• Strong understanding of model training, data analysis and performance improvement.
• Strong problem-solving skills, creativity, independence, and the ability to handle complex problems where the solution is not always clear in advance.
• Ability to work in a structured way - define priorities, break down problems, plan execution, and drive tasks to completion.

Nice to have:

• Experience with real-time, production-grade, or product-oriented deep learning systems.

What will your job look like?

• Design, develop, and deploy AI-driven internal tools and agentic workflows that accelerate the SDLC and reduce friction for Mobileye developers.
• Expand the capabilities of existing platforms by embedding smart, context-aware LLM features.
• Identify high-impact bottlenecks across the engineering organization and build zero-to-one AI solutions to solve them.
• Architect robust orchestration layers around LLMs, focusing on practical implementations of custom system "skills," tool calling, Model Context Protocol (MCP) integrations, memory management, and Retrieval-Augmented Generation (RAG).
• Maintain a framework-agnostic approach, rapidly evaluating and adopting the most effective AI models, APIs, and open-source techniques as the landscape evolves.

All you need is:

• B.Sc. in Computer Science, Software Engineering, or a related technical field.
• 4+ years of hands-on software engineering experience, with a strong focus on Python development.
• Proven experience building and deploying production LLM applications, including agentic. workflows, tool calling, and context management.

Nice to Have:

• Deep understanding of CI/CD pipelines, DevOps practices, and automated build/test systems.
• Experience with cloud infrastructure and modern deployment architectures.
• Familiarity with Git and GitLab, backed by practical experience in automating developer workflows.

What will your job look like:

• Drive Execution: Balance hands-on development (coding, code reviews, and architecture) with project management, resource planning and delivery.
• Architect at Scale: End-to-end architecture of ingestion pipelines capable of handling massive scale, ensuring low latency, high availability, and optimal cost-efficiency.
• Lead & Mentor: Empower, guide, and scale a talented team of backend engineers. Foster a culture of technical excellence and continuous learning.
• Optimize Infrastructure: Continuously improve system performance, data throughput, and cloud infrastructure utilization (compute, storage, and networking costs).

   

All you need is:

• 2+ years of experience leading, mentoring, and growing backend engineering teams in a fast-paced environment.
• 5+ years of deep backend experience building high-scale, distributed cloud architectures.
• Hands-on experience with high-throughput streaming and queuing systems (e.g., Apache Kafka, AWS Kinesis, RabbitMQ, or equivalent).
• Strong experience with cloud providers, preferably AWS (core services like EKS, S3, CloudFront) and containerized workflows (Docker, Kubernetes).
• Proficiency in Node.js and/or Python.
• Solid understanding of high performance relational/NoSQL databases.
• Familiarity with Data Lake architectures (e.g., Iceberg, Glue, or similar high-scale storage formats).

Nice to have:

• Experience with task queues and stream processing frameworks (Celery, Spark etc.).
• Background in geospatial data processing or handling.

What your job will look like:

• You will develop mostly in C++ (and Python).
• You will develop, design, and maintain Real-Time oriented code, meeting high standards of memory and running-time requirements.
• You will work both independently and in collaboration with other teams at Mobileye.
• Support system integration.

All you need is:

• Bachelor's degree in Exact Sciences, with interest and experience in Computer Science or Software Engineering.
• 3+ years of experience in SW development.
• Knowledge of C/C++ with practical experience.
• Good self-learning capabilities of new technologies and systems.
• Good team player with capabilities to also work independently.

Nice to have:

• Knowledge of Git and GitLab with practical experience.
• Experience with Image Processing Algorithms.

What will your job look like?

• You will be part of the design of the car application that controls the main execution flow of various software components running on the Mobileye chip. Additionally, it manages many sensors and their inputs, such as cameras, radar, and car signals. 
• The application integrates these inputs and feeds them into various algorithms to create a comprehensive worldview for the car. 
• The project is challenging both in its real-time complexity of a system with multiple sensors and being part of the overall automotive car system architecture.
• Working in a large group of software developers with cross-team collaboration. 

All you need is:

• B.Sc. or M.Sc. in Software Engineering, Computer Science, or a related field.
• 3+ years of hands-on experience in software development.
• Strong programming skills in C / C++.
• Experience working in a Linux-based development environment.
• Familiarity with cloud platforms (AWS preferred).
• Experience with Python – an advantage.

What will your job look like:

• Design, develop and maintain core C++ software components that power Mobileye's next-generation autonomous driving systems. 
• Own features end-to-end, from requirements and architecture through implementation, testing, deployment and ongoing support.
• Drive software architecture, scalability, reliability and code quality, leveraging engineering best practices, design reviews and continuous improvements. 
• Solve complex system- level and real time challenges, optimizing performance, memory utilization and execution efficiency.
• Contribute to the development of innovative Autonomous Vehicle (AV) technologies, delivering high-impact solutions for internal and external customers. 

All you need is:

• Bachelor's degree or Master's degree in Computer Science, Computer Engineering, or a similar field 
• 3+ years of experience in C++ programming 
• Strong focus on system architecture and design principle
• A deep systems-level understanding and the ability to integrate complex components
• Experience in Python - an advantage
• Experience developing in Linux operating system - an advantage

What will your job look like?

•  Develop and extend a compiler based on the LLVM infrastructure to support and optimize Mobileye's EyeQ hardware.
• Implement and improve middle‑end and back‑end compiler optimizations.
• Analyze generated code to improve performance and efficiency.
• Perform real-world benchmark analysis to find optimization opportunities.
• Collaborate with chip architects on defining and supporting future hardware generations.

All you need is:

• B.Sc. in Computer Science, Computer Engineering, or a related field - Must.
• Strong programming skills in C/C++ and Python - Must.
• luent English communication skills, both written and spoken.
• Experience with low‑level, firmware, or embedded software development and debugging.
• Familiarity with compiler technologies, particularly LLVM or MLIR.
• Experience analyzing benchmarks and performance data.

What will your job look like:

• Research, design, develop, and implement advanced lidar-based perception algorithms using state-of-the-art deep learning and computer vision techniques.
• Develop, train, and optimize deep neural networks for challenging 3D perception tasks such as detection, classification, tracking, segmentation, and scene understanding.
• Evaluate existing models and architectures, investigate emerging deep learning methodologies, and propose innovative solutions to improve accuracy, robustness, and computational efficiency.
• Analyze and validate algorithms on large-scale real-world datasets collected by Mobileye vehicles worldwide.
• Collaborate with cross-functional teams to define requirements, create data-driven solutions, and deploy production-ready models.
• Optimize deep learning models and classical algorithms for scalability, runtime performance, and deployment on embedded automotive platforms.
• Stay at the forefront of advances in deep learning, computer vision, and autonomous driving research, and drive their adoption into production systems.

All you need is:

• M.Sc. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a related field.
• 3+ years of hands-on experience developing deep learning and computer vision algorithms.
• Strong practical experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience developing, training, evaluating, and optimizing neural networks for computer vision or 3D perception applications.
• Strong understanding of machine learning, deep learning fundamentals, optimization, and statistical analysis.
• Solid programming skills in Python; experience with C++ is an advantage
• Strong mathematical and problem-solving skills
• Ability to quickly learn new technologies and transform research ideas into production-quality solutions
• Independence, creativity, and a proactive approach
• Experience with lidar, 3D perception, autonomous driving, or the automotive industry is a strong advantage

What will your job look like:

• Security Architecture Design – Develop and maintain end-to-end security architecture for radar systems, including hardware, firmware, and software components.
• Threat Modeling & Risk Assessment (TARA) – Perform Threat Analysis and Risk Assessment for radar components, software modules, and communication channels; identify vulnerabilities and design mitigation strategies.
• Secure Communication – Implement encryption, authentication, and integrity checks for radar data transmission between hardware and software layers.
• Secure Software Design – Define and enforce security controls for APIs, middleware, and integration points between radar systems and other vehicle subsystems.
• Compliance & Standards – Ensure radar systems meet ISO 21434, UNECE WP.29, and other relevant automotive cybersecurity regulations.
• Collaboration with R&D – Work closely with radar engineers, embedded software developers, and system architects to embed security into the design process.
• Incident Response Support – Provide architectural guidance during security incidents involving radar systems.
• Technology Evaluation – Assess and recommend security tools, frameworks, and methodologies for radar-specific applications.

All you need is:

• B.Sc. or M.Sc. in Computer Science, Electrical Engineering, Cybersecurity, or related field.
• 7+ years of experience in cybersecurity roles, with at least 3 years in architecture or senior design positions.
• Proven experience securing embedded systems - hardware connections, software modules, and real-time communication protocols.
• Strong background in system architecture - ability to design and analyze complex, multi-component systems and ensure security is integrated at every layer.
• Strong knowledge of cryptography, secure boot, firmware integrity verification, and secure API design.
• Excellent communication and documentation abilities.
• Strong problem-solving mindset and ability to work in cross-disciplinary teams.

Nice to have:

• Experience in radar system development or RF engineering.
• Experience with automotive cybersecurity standards (ISO 21434, UNECE WP.29).
• Understanding of CAN, Ethernet, and automotive communication protocols.
• Knowledge of AI/ML security considerations.
• Certifications such as CISSP, CCSP, or CEH.

What will your job look like?

All you need is:

All you need is:

• PhD in Computer Science or a related discipline (exceptional MSc candidates will be considered).
• 4+ years of hands-on experience developing deep learning algorithms in Python.
• Experience building end-to-end DL pipelines: data preparation, training, evaluation, and deployment.
• Proficiency in at least one deep learning framework (e.g., TensorFlow, PyTorch).
• Excellent problem-solving skills and a research-oriented mindset.
• Industry experience in DL or software development.
• Familiarity with hardware-aware model optimization.
• Experience with cloud platforms (e.g., AWS), Docker, and Linux environments.
• Publications or contributions in the fields of deep learning, neural architecture search, knowledge distillation or multi-task learning.

What will your job look like:

• Lead the design, development, and implementation of accurate and robust AI algorithms for new projects.
• Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithm.
• Design, develop and implement deep learning algorithms to solve complex problems in computer vision.
• Take ownership of deep learning projects: Design solutions, oversee execution, and collaborate with talented Algorithm developers.
• Collaborate with cross-functional teams to understand requirements and develop solutions.

All you need is:

• Advanced degree (M.Sc. or Ph.D) in Computer Vision, Deep Learning, or Machine Learning.
• 3+ years of experience in developing deep learning algorithms.
• Knowledge of C++.
• Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch.
• Hands-on experience working with LLMs (e.g., for data generation, augmentation, or labeling) - Advantage.

What will your job look like:

• Lead the design, development, and implementation of accurate and robust AI algorithms for new projects.
• Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithm.
• Design, develop and implement deep learning algorithms to solve complex problems in computer vision.
• Take ownership of deep learning projects: Design solutions, oversee execution, and collaborate with talented Algorithm developers.
• Collaborate with cross-functional teams to understand requirements and develop solutions.

All you need is:

• Advanced degree (M.Sc. or Ph.D) in Computer Vision, Deep Learning, or Machine Learning.
• 3+ years of experience in developing deep learning algorithms.
• Knowledge of C++.
• Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch.
• Hands-on experience working with LLMs (e.g., for data generation, augmentation, or labeling) - Advantage.

What will your job look like:

• Directly influence our platform's scalability to support growth and R&D efficiency across both cloud and on-premises environments.
• Own infrastructure projects from research and architectural design to implementation and rollout.
• Lead infrastructure improvements around high availability, resiliency, performance, and FinOps/cost efficiency.
• Develop shared templates, libraries, and standards as infrastructure to empower developers and streamline CI/CD delivery.
• Evaluate and implement new technologies that upgrade our hybrid infrastructure posture and observability.
• Serve as a technical expert in infrastructure decisions, taking ownership, sharing knowledge, and driving engineering excellence across the team.

All you need is:

• BSc in Computer Science or equivalent practical experience.
• 5+ years of hands-on experience as a DevOps or Cloud Engineer in high-scale production environments.
• Experience managing, maintaining, and scaling robust on-premises infrastructure alongside cloud-based platforms.
• Proven experience implementing robust observability stacks using tools like Prometheus, Grafana, Coroot, Elasticsearch, Coralogix, etc.
• Deep, hands-on expertise with AWS services, specifically: Access policies (IAM), Networking topology, S3, RDS, ElastiCache, and EKS.
• Advanced understanding of K8s cluster architecture and the deployment of tools for better cluster visibility and management.
• Strong hands-on coding skills in Python or TypeScript to develop and maintain resources (AWS CDK is highly preferred).

Who you are:

• A power-electronics and mixed-signal designer who loves compact, high-density boards.
• Rigorous on the bench: you validate your design with current probes and thermal cameras, not assumptions.
• A close collaborator - your daily partners are firmware and control engineers.

What will your job look like:

• Design the joint motor controller PCB: inverter stage (MOSFET selection, gate drivers), phase current sensing, bus voltage sensing, and protections.
• Design encoder, temperature, and auxiliary sensor interfaces on the board.
• Integrate the communication physical layer (EtherCAT/CAN) and MCU subsystem in partnership with the embedded team.
• Own layout for high-current, high-density, thermally constrained boards that package inside actuator modules.
• Run board bring-up: power-on, signal integrity, current loop sanity, thermal validation under load.
• Iterate fast across board revisions with local PCB/PCBA suppliers together with sourcing.
• Support EMI/EMC robustness and harness/connector definition with the power systems engineer.

All you need is:

• B.Sc. or M.Sc. in Electrical Engineering or related fields.
• 8+ years designing motor drive or power electronics boards (BLDC inverters, servo drives, ESCs, or similar).
• Strong schematic and layout skills (Altium or equivalent) for mixed-signal, high-current designs.
• Hands-on bring-up and debug experience: oscilloscopes, current probes, thermal measurement.
• Solid understanding of FOC drive requirements: current sensing accuracy, PWM dead-time, gate drive design.
• Experience working closely with firmware teams on board bring-up.

Nice to have:

• Experience with integrated actuator drives ('smart joints') in robotics or drones.
• EtherCAT or CAN-FD hardware integration experience.
• Experience with GaN or high-frequency switching designs.
• Familiarity with functional safety concepts (STO, protections).
• Comfortable communicating technical topics in English with international teams.

Who you are:

• A pragmatic system electrical engineer - you scope to what the prototype needs
• Safety-first where it matters: batteries, e-stop, and protection are non-negotiable
• Comfortable owning everything from pack design to the last connector

Responsibilities:

• Design a simple, robust battery pack for the prototype: cell selection, pack architecture, and the necessary battery management (protection, monitoring, charging)
• Design robot-wide power distribution: bus architecture, regeneration handling, fusing, and pre-charge
• Own the safety chain: e-stop, contactors, and fault disconnection paths
• Design and route the full wiring harness - power and communication - through joints and limbs, together with the actuation team
• Define connectors and cabling for high-flex, high-current robot use
• Integrate compute and sensor power domains (Jetson, cameras, IMU)
• Validate the power system under real locomotion loads; instrument and measure

Requirements:

• B.Sc. or M.Sc. in Electrical Engineering
• 5+ years in system-level electrical design for robotics, automotive, drones, or battery-powered machines
• Hands-on experience with Li-ion battery pack design and BMS integration
• Experience with high-current DC power distribution and protection design
• Practical harness design experience: routing, strain relief, connectors for moving mechanisms
• Strong lab skills and a safety-driven working culture

Advantages:

• Experience in EV / automotive power systems or legged robotics
• EMI/EMC mitigation experience in dense electromechanical systems
• Familiarity with regenerative braking energy handling in motor-driven systems
• Comfortable communicating technical topics in English with international teams

What will your job look like:

• Own software features end-to-end, from design through implementation, integration, testing, and maintenance.  

• Design, develop, and maintain application-level software for complex real-time embedded systems using modern C++.  

• Participate in architecture discussions, design reviews, and technical decision-making.  

• Debug, troubleshoot, and optimize software for performance, reliability, and scalability.  

• Collaborate with multidisciplinary teams including Algorithms, Cloud, Product Management, Installation Tools, and other Embedded Software teams.  

• Mentor junior engineers and contribute to improving development practices. 

All you need is:

• B.Sc. in Computer Science or Software Engineering. 

• 6+ years of hands-on software development experience. 

• Strong proficiency in modern C++. 

• Experience developing software for Linux-based systems. 

• Experience with embedded and/or real-time software development. 

• Strong software design, debugging, and problem-solving skills. 

• Experience owning features throughout the full software development lifecycle. 

• Familiarity with communication protocols such as TCP/IP, UDP, Ethernet, CAN, SPI, UART, or I2C. 

• Strong communication skills and the ability to clearly explain technical decisions. 

Who you are

• A bare-metal firmware engineer who thinks in microseconds and interrupt priorities
• Obsessive about determinism, correctness, and clean fault behavior
• At home on the bench with a logic analyzer and an oscilloscope

Responsibilities

• Design and develop real-time firmware in C for the STM32-class MCU on the Motor Controller PCB - bare metal, no OS
• Implement and optimize the control algorithms defined by the Motion Control Engineer: FOC commutation and current/velocity/position loops, with guaranteed loop timing
• Own calibration routines (encoder offset, current sensing), protections, and fault handling (over-current, over-temperature, encoder loss)
• Implement the EtherCAT/CAN slave stack and the joint-level communication API exposed to the robot's compute platform
• Own bootloader, flashing, and fleet firmware-update flow across all joints
• Work with high-speed peripherals: ADCs, DMA, timers/PWM, interrupts
• Bring up new board revisions with the electrical engineer; debug with logic analyzers, oscilloscopes, and HIL setups
• Take full ownership of your code - from bring-up to deployment on the walking robot

Requirements

• B.Sc. in Electrical Engineering, Computer Engineering, or a related field
• 8+ years of embedded firmware development in bare-metal, hard real-time systems
• Strong proficiency in C and STM32 (or equivalent ARM Cortex-M) programming
• Hands-on experience with motor control firmware (FOC, current/velocity/position loops, encoder interfaces) and/or industrial protocols (EtherCAT, CAN)
• Excellent debugging skills in both code and hardware environments
• Comfortable with schematics, datasheets, and bench instrumentation

Advantages

• Deep EtherCAT knowledge, including slave stack integration and real-time tuning
• Experience with servo drives, drone ESCs, or robot joint controllers
• Exposure to Python for test automation
• Familiarity with MISRA C or structured safety-oriented code practices
• Comfortable communicating technical topics in English with international teams

What will your job look like:

• Researching and defining the SW solutions based on the PCIe standard and the Linux implementation for the PCIe stack.

• Designing and Implementing the SW Stack for the communication between the EyeQ SoCs laying the infrastructure for cross chip neural networks. 

• Defining the future HW solutions by working closely with the SoC Architecture team in a SW/HW co-development environment. 

• Performing performance analysis, feasibility studies, PoCs and optimization flows to achieve the highest performance with minimal resources. 

• Work closely with the Linux Kernel team and provide the technical guidance and mentoring for development engineers. 

All you need is:

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or Computer Science.

• 7+ years experience in the Linux Kernel architecture, OS Internals and subsystems (Memory Management, IO, Storage, Networking).

   Experience and Deep understanding of PCIe standard, topologies and it’s applications. 

• Very good understanding of HW architecture and high bandwidth applications. 

• Strong experience in Performance Analysis and Debugging techniques. 

Nice to have:

• Experience with HW architectures (MIPS & RISCV) and their implementation in the operating system.

• Experience in the user space.

What will your job look like:

• Researching and defining the SW solutions based on the PCIe standard and the Linux implementation for the PCIe stack.

• Designing and Implementing the SW Stack for the communication between the EyeQ SoCs laying the infrastructure for cross chip neural networks. 

• Defining the future HW solutions by working closely with the SoC Architecture team in a SW/HW co-development environment. 

• Performing performance analysis, feasibility studies, PoCs and optimization flows to achieve the highest performance with minimal resources. 

• Work closely with the Linux Kernel team and provide the technical guidance and mentoring for development engineers. 

All you need is:

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or Computer Science.

• 7+ years experience in the Linux Kernel architecture, OS Internals and subsystems (Memory Management, IO, Storage, Networking) 

•  Experience and Deep understanding of PCIe standard, topologies and it’s applications. 

• Very good understanding of HW architecture and high bandwidth applications. 

• Strong experience in Performance Analysis and Debugging techniques.

Nice to have:

• Experience with HW architectures (MIPS & RISCV) and their implementation in the operating system.

• Experience in the user space.

What will your job look like:

• Researching and defining the SW solutions based on the PCIe standard and the Linux implementation for the PCIe stack.

• Designing and Implementing the SW Stack for the communication between the EyeQ SoCs laying the infrastructure for cross chip neural networks. 

• Defining the future HW solutions by working closely with the SoC Architecture team in a SW/HW co-development environment. 

• Performing performance analysis, feasibility studies, PoCs and optimization flows to achieve the highest performance with minimal resources. 

• Work closely with the Linux Kernel team and provide the technical guidance and mentoring for development engineers. 

All you need is:

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or Computer Science.

• 7+ years experience in the Linux Kernel architecture, OS Internals and subsystems (Memory Management, IO, Storage, Networking) 

  Experience and Deep understanding of PCIe standard, topologies and it’s applications. 

• Very good understanding of HW architecture and high bandwidth applications. 

• Strong experience in Performance Analysis and Debugging techniques. 

Nice to have:

• Experience with HW architectures (MIPS & RISCV) and their implementation in the operating system.

• Experience in the user space.

What will your job look like:

• Clearly define the requirements. Research the hardware, firmware, and software existing support and define the solution to match the requirements.
• Hands-on resolution of complex issues
• Resolve issues raised during implementation stages or feedback from customers.
• Develop & communicate high-level designs and technical specifications
• Define responsibilities of system components and interfaces
• Identify risks and propose solutions in system designs
• Define aspects of development; appropriate technology, workflow and standards
• Evaluate existing system designs and propose improvements
• Collaborate with other architects
• Foster innovation through research, recommending the use of new technologies, processes or standards
• Prepare, lead and participate in design reviews
• Take part in all phases of the software development cycle

All you need is:

• B.Sc/ M.Sc in Computer Engineering, Computer Science or Electrical Engineering.
• At least 5 years of experience as a Software Architect \Senior Developer \Software Team Lead - Must
• Experience developing software for complex embedded products in c\c++ - Must
• Team player with a positive attitude and a cooperative mindset
• Deep understanding of technology and passion for what you do

What will your job look like:

• Performance verification of EyeQ SoC designs.
• Development of hardware virtual platforms.
• Running hardware benchmarks and correlating virtual platform results with silicon measurements.
• Development of tracing and profiling tools for CPU performance analysis and optimization.
• Close collaboration with hardware architects and software, OS, and algorithm teams.

All you need is:

• BSc/MSc in Computer Science, Computer Engineering, or Electrical Engineering.
• 5+ years of experience in C/C++ programming.
• 5+ years of experience in embedded software development.
• Experience with Python and shell scripting.
• Strong communication and teamwork skills.

Nice to have:

• Experience with performance verification.
• Experience with QEMU.
• Experience with CPU benchmarking and performance analysis.
• Experience with Embedded Linux.
• Familiarity with assembly languages and hardware architecture concepts.
• Experience with SystemC.

What will your job look like:

• Performance verification of EyeQ SoC designs.
• Development of hardware virtual platforms.
• Running hardware benchmarks and correlating virtual platform results with silicon measurements.
• Development of tracing and profiling tools for CPU performance analysis and optimization.
• Close collaboration with hardware architects and software, OS, and algorithm teams.

All you need is:

• BSc/MSc in Computer Science, Computer Engineering, or Electrical Engineering.
• 5+ years of experience in C/C++ programming.
• 5+ years of experience in embedded software development.
• Experience with Python and shell scripting.
• Strong communication and teamwork skills.

Nice to have:

• Experience with performance verification.
• Experience with QEMU.
• Experience with CPU benchmarking and performance analysis.
• Experience with Embedded Linux.
• Familiarity with assembly languages and hardware architecture concepts.
• Experience with SystemC.

What will your job look like:

• Design and implement robust C++ code for multi-threaded, multi-core environments running on advanced MIPS and RISC-V architectures.
• Develop Video Interface drivers and frameworks, maintaining and scaling existing systems to support next-gen SoC capabilities.
• Board bring-up activities and debug complex systems on Mobileye’s proprietary Silicon.
• Utilize on-SoC scripting engines to provide flexibility and interactive SoC usage for internal and external stakeholders.

All you need is:

• BSc in Computer Science, Computer Engineering, or Electrical Engineering.
• 3+ years of hands-on experience in C++ programming and Embedded SW development.
• Proven ability to work with HW specifications and develop SW in Bare-metal or RTOS environments.
• Strong experience in HW/SW integration and debugging on real SoC environments.
• Knowledge in shell scripting and Python.
• Understanding of embedded systems architecture (IOs, I2C, SPI, and other interconnect buses)- Advantage.

What will your job look like:

• Lead and mentor a team of 4-6 SW Integration and Automation engineers.
• Manage the daily integration of the aggregated delivery of all OS teams upstream into Mobileye’s SW stack.
• Daily tracking of changes coming from OS development teams and controlling their integration order, priorities, test coverage and conflicts.
• Managing a daily integration forum to track nightly tests reports, triaging new issues found and assigning them to development teams.
• System level understanding of the OS features and tracking the test coverage developed by the OS developers.
• Tracking the utilization, health and allocation of the HW resources in the farm.
• Balancing test coverage to HW availability through tracking CI load.
• Acting as a PoC for all OS integration issues. Both within the OS teams and externally.
• Tracking bug escapes and their mitigation in the OS test coverage.

All you need is:

• B.Sc. or higher in Computer Engineering or Computer Science.
• Prior experience in leadership of a tech lead role.
• 5+ years of experience in Integration of Embedded SW.
• Strong C and Python programming skills.
• Strong analytical skills with hands on ability to track and isolate issues.
• Experience in Continuous Integration & automation methodologies and tools.
• Big advantage for experience with the embedded Linux Kernel development.

What will your job look like:

• Lead and mentor a team of 4-6 SW Integration and Automation engineers.
• Manage the daily integration of the aggregated delivery of all OS teams upstream into Mobileye’s SW stack.
• Daily tracking of changes coming from OS development teams and controlling their integration order, priorities, test coverage and conflicts.
• Managing a daily integration forum to track nightly tests reports, triaging new issues found and assigning them to development teams.
• System level understanding of the OS features and tracking the test coverage developed by the OS developers.
• Tracking the utilization, health and allocation of the HW resources in the farm.
• Balancing test coverage to HW availability through tracking CI load.
• Acting as a PoC for all OS integration issues. Both within the OS teams and externally.
• Tracking bug escapes and their mitigation in the OS test coverage.

All you need is:

• B.Sc. or higher in Computer Engineering or Computer Science.
• Prior experience in leadership of a tech lead role.
• 5+ years of experience in Integration of Embedded SW.
• Strong C and Python programming skills.
• Strong analytical skills with hands on ability to track and isolate issues.
• Experience in Continuous Integration & automation methodologies and tools.
• Big advantage for experience with the embedded Linux Kernel development.

What will your job look like:

• Lead and mentor a team of 4-6 SW Integration and Automation engineers.
• Manage the daily integration of the aggregated delivery of all OS teams upstream into Mobileye’s SW stack.
• Daily tracking of changes coming from OS development teams and controlling their integration order, priorities, test coverage and conflicts.
• Managing a daily integration forum to track nightly tests reports, triaging new issues found and assigning them to development teams.
• System level understanding of the OS features and tracking the test coverage developed by the OS developers.
• Tracking the utilization, health and allocation of the HW resources in the farm.
• Balancing test coverage to HW availability through tracking CI load.
• Acting as a PoC for all OS integration issues. Both within the OS teams and externally.
• Tracking bug escapes and their mitigation in the OS test coverage.

All you need is:

• B.Sc. or higher in Computer Engineering or Computer Science.
• Prior experience in leadership of a tech lead role.
• 5+ years of experience in Integration of Embedded SW.
• Strong C and Python programming skills.
• Strong analytical skills with hands on ability to track and isolate issues.
• Experience in Continuous Integration & automation methodologies and tools.
• Big advantage for experience with the embedded Linux Kernel development.

What will your job look like:

• Participate in planning and implementation of advanced validation processes.
• Define and implement end-to-end validation tools and methods with advanced geometric calculations, logics, and heuristic.
• Integrating new features into existing validation processes.
• Improving sensitivity, efficiency, effectiveness, and quality of validation processes.
• Management and prioritization of daily tasks.
• Integration of tools and algorithms from different departments in the company and applying them into our validation infrastructure.

All you need is:

• BSc in computer science, Mathematics, or similar field.
• 3+ years of experience in designing, implementing, and automating algorithm validation or software testing, with a focus on performance testing for complex, data-intensive, or machine-learning algorithms.
• Experience with Python (NumPy, SciPy, Matplotlib, Pandas).
• Strong analytical capabilities and experience in data processing.
• Knowledge in descriptive statistics, probability, and statistical inference.
• Ability to juggle multiple tasks.
• Broad vision and a systematic approach.
• Fluent English.

What will your job look like:

• You will be part of the design of the car application that controls the main execution flow of various software components running on the Mobileye chip. Additionally, it manages many sensors and their inputs, such as cameras, radar, and car signals.
• The application integrates these inputs and feeds them into various algorithms to create a comprehensive worldview for the car.
• The project is challenging both in its real-time complexity of a system with multiple sensors and being part of the overall automotive car system architecture.
• Working in a large group of software developers with cross-team collaboration.

All you need is:

• B.Sc. or M.Sc. in Software Engineering, Computer Science, or a related field.
• 3+ years of hands-on experience in software development.
• Strong programming skills in C / C++.
• Experience working in a Linux-based development environment.
• Familiarity with cloud platforms (AWS preferred).
• Experience with Python - an advantage.

What will your job look like:

• Work on developing and optimizing control algorithms for the vehicle.
• Run and analyze simulations to test autonomous vehicle in virtual environments.
• Collaborate with hardware engineers to integrate control algorithms with the vehicle's hardware components, such as sensors, actuators, and onboard computers.
• Working with communication protocols and interfaces for both internal and external communications with different components of the system.
• Customer facing workshops to discuss and test your algorithms.
• Testing your algorithms in an Autonomous vehicle.

All you need is:

• B.Sc. in Software/Mechanical/Aerospace Engineering. M.Sc - advantage.
• Background in control design and method for embedded systems or robotics (at least 3 years of experience).
• Proficient in C++ & Python (at least 2 years of programming).
• Experience in Linux.
• Experience in Simulink RT - Advantage.
• Willingness to travel a few times a year abroad

What will your job look like:

• Participate in planning and implementation of advanced validation processes.
• Define and implement end-to-end validation tools and methods with advanced geometric calculations, logics, and heuristic.
• Integrating new features into existing validation processes.
• Improving sensitivity, efficiency, effectiveness, and quality of validation processes.
• Management and prioritization of daily tasks.
• Integration of tools and algorithms from different departments in the company and applying them into our validation infrastructure.

All you need is:

• BSc in computer science, Mathematics, or similar field.
• 3+ years of experience in designing, implementing, and automating algorithm validation or software testing, with a focus on performance testing for complex, data-intensive, or machine-learning algorithms.
• Experience with Python (NumPy, SciPy, Matplotlib, Pandas).
• Strong analytical capabilities and experience in data processing.
• Knowledge in descriptive statistics, probability, and statistical inference.
• Ability to juggle multiple tasks.
• Broad vision and a systematic approach.
• Fluent English.

What will your job look like:

• Research and develop state-of-the-art computer vision and deep learning algorithms for ADAS and autonomous driving.
• Participate in the entire development cycle, from initial research and prototyping to deployment on real-time embedded systems within the vehicle. 
• Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems. 
• Analyze large datasets to improve algorithm performance and robustness.

All you need is:

• B.Sc. or M.Sc. in Computer Science or Engineering, with excellent academic performance.
•  3+ years of hands-on experience developing deep learning algorithms, preferably in computer vision or perception for autonomous driving systems.
• Solid understanding of data structures, algorithms, and deep learning principles. 
• Hands-on experience in algorithm development.
• Strong problem-solving skills and the ability to work independently and as part of a team. 

Nice to have:

• Experience with TensorFlow or PyTorch.
• Familiarity with cloud platforms and tools (e.g., AWS, GCP).

What will your job look like:

• Develop and train neural networks for complex perception tasks in real-world driving environments.
• Design and analyze deep learning pipelines, from data to deployment.
• Collaborate with algorithm, software, and data experts to deliver production-ready models.
• Research and apply new methods in computer vision, 3D perception, and multi-task learning to improve performance and efficiency.

All you need is:

• M.Sc. in Computer Science, Electrical Engineering, or a related field.
• At least 2 years of industry experience developing deep learning–based computer vision algorithms.
• Strong Python programming skills and hands-on experience with PyTorch.
• Solid understanding of deep learning and computer vision.

What will your job look like:

• Develop and train neural networks for complex perception tasks in real-world driving environments.
• Design and analyze deep learning pipelines, from data to deployment.
• Collaborate with algorithm, software, and data experts to deliver production-ready models.
• Research and apply new methods in computer vision, 3D perception, and multi-task learning to improve performance and efficiency.

All you need is:

• M.Sc. in Computer Science, Electrical Engineering, or a related field.
• At least 2 years of industry experience developing deep learning–based computer vision algorithms.
• Strong Python programming skills and hands-on experience with PyTorch.
• Solid understanding of deep learning and computer vision.

What will your job look like:

• Develop a software product that optimizes deep learning networks. The optimizations include learnable techniques such as quantization, pruning and compression. This software product is the initial stage of the deep learning inference flow and is essential for enabling Mobileye’s deep learning networks to operate efficiently on low-power hardware within vehicles.
• Development is mostly in Python programming language, using deep learning frameworks such as Pytorch.
• Collaborate closely with Mobileye’s algorithm teams to ensure the fast and accurate deployment of their state-of-the-art models. 
• The work encompasses the entire software development cycle, including code implementation, unit testing, CI/CD processes, and more.
• Literature research and POC implementation of new optimization algorithms.
• Your work will position you at the forefront of machine learning optimizations.

All you need is:

• BSc/MSc in Computer Science/ Electrical Engineering with computer science chain.
• Knowledge in Python/C/C++.
• Knowledge in CI/CD pipelines and containerized environments – advantage.
• Background in Neural Networks/Deep Learning – advantage.
• Experience in Pytorch – advantage.

What will your job look like:

• You'll be responsible for the architecture of DFT solutions across the SOC (MBIST, SCAN, ATPG, LBIST and more). 
• Develop all the necessary RTL for the different modules. 
• Verify and Validate your design in GLS.
• Develop ATPG to the highest requirements of Functional Safety (ISO26262).
• Debug and analyze coverage and yield loss. 
• Support production activities and Si debug.

All you need is:

• BSc or MSc in Electrical and Electronics Engineering.
• Proven Experience in either SCAN or MBIST tools and flows.
• At least 2 years of DFT experience in both SCAN/MBIST.
• At least 2 years of experience in the ASIC/SoC industry.
• Excellent communication skills and team spirit. 

What will your job look like:

• Develop all the necessary HW / FW / SW for the different modules.
• Verify and Validate our design.
• Debug and analyze coverage and yield loss.
• As a cutting edge technology company, we are working only with the very advanced DFT tools and features, while developing our own methods and DFT concepts – as it required by the Automotive and Safety related products market (ISO26262).

All you need is:

• At least 5 years of experience in the ASIC/SoC industry.
• Excellent communication skills.
• BSc or MSc in Computer Engineering or Electrical Engineering.

Nice to have:

• Proven Experience in either SCAN or MBIST tools and flows.
• Knowledge of Hierarchical SCAN methodology.
• Knowledge of Logic BIST (LBIST) and Test Point Insertion (TPI) flows.
• Knowledge of TAP protocols IEEE 1149.1/1500/1687 (iJTAG).
• Knowledge of Synthesis flows.

What will your job look like:

• Be the owner of formal verification environment from first draft to sign-off stage
• Apply formal methods to verify the correctness of various complex digital systems
• Work with HW architects\designers to define assumptions, rules and cover properties
• Help define the formal verification methodology and environment to be applied by the team
• Explore new Formal methods and Tools
• Work with tools like Cadence JasperGold, Verisium manager, Xcelium, Indago
• Analyze verification results, identify bugs, and collaborate with engineers to resolve design issues
• Develop generic formal blocks\functions of commonly used logic, to be later used off the shelf

All you need is:

• BSc in electrical engineering, computer engineering, or computer science
• Passion for the field of Formal Verification
• 5+ years of experience in Formal Verification
• Experience coding system-verilog hardware description language
• Experience with scripting languages (e.g. python, tcl )
• Strong analytical and problem solving skills
• Ability to work independently and in a team-oriented environment

What will your job look like:

• Developing code for a multi-threaded, multi-core system under a custom real-time operating system on MIPS/RISC-V processor range, exposing complex HW features to upper SW layers.

• Designing and implementing system verification and integration tests in a simulation environment, as well as maintaining and enhancing existing ones.

• Executing board bring-up activities and debugging existing systems with Mobileye's proprietary system on a chip.

All you need is:

• BSc in Computer Science, Computer Engineering, or Electrical Engineering.

• 3+ years of experience in C/C++ programming.

• 3+ years of experience in embedded SW.

• Ability to work with HW specifications and develop low-level SW in bare-metal/RTOS environments.

• Experience in HW/SW integration and debugging activities on real SoC.

• Knowledge of shell scripting and Python.

• Excellent communication and teamwork skills.

Nice to have:

• Understanding of embedded systems, microprocessors, I/Os, I2C/SPI, and other interconnect buses.

• Experience working with MIPI CSI protocol or other high-speed serial interfaces.

What will your job look like:

• Research and develop cutting-edge end-to-end 3D perception models combining geometry and semantics.
• Work on 3D Semantic Occupancy, Geometry Reasoning, 3D Reconstruction, 3D Object Detection, and related tasks.
• Innovate in multi-view fusion, motion handling, and spatial representation learning.
• Deliver models that run on real vehicles and integrate into production systems.

All you need is:

• 4+ years of hands-on experience in Machine Learning and Deep Learning.
• M.Sc. in a relevant field (Machine Learning / Computer Vision / Robotics / similar).
• B.Sc. from a leading university.
• Strong Python development skills.
• Highly motivated, hard-working, proactive, and driven to solve challenging problems.
• Ability to operate in a fast-paced research & development environment.

Nice to have:

• PhD or relevant academic publications.
• Experience with Linux, Git, Docker, C++.
• Knowledge in 3D perception, computer vision, or robotics.
•  Industry experience working on CV and Deep Learning.

What will your job look like:

• Hands-on physical design block owner, leading the process from RTL to GDS .
• Lead floorplan exploration in collaboration with Front-End and Architecture teams.
• STA: Partner with FE and floor planners to manage block and top-level constraints and perform 1st-level timing analysis.
• Synthesis: Conduct synthesis exploration and deliver final netlists, including scan insertion, UPF, and clean Lint/Spyglass checks.
• Place & Route: Drive the flow from synthesis netlist to final layout and signoff verification, with a focus on optimizing PPA (Power, Performance, and Area).

All you need is:

• BSc or MSc in Computer Engineering or Electrical Engineering.
• 5+ years of experience in the Physical Design field
• Proficiency in scripting languages (Tcl, Python, Perl, or tcsh).
• A team player with excellent communication skills and a “can-do” attitude.

Nice to have:

• Experience in developing or maintaining implementation tools and design flows.
• Experience with high-speed interfaces (DDR/PCIE).
• Experience with advanced nodes (5nm and below).

What will your job look like:

• Hands-on physical design block owner, leading the process from RTL to GDS .
• Lead floorplan exploration in collaboration with Front-End and Architecture teams.
• STA: Partner with FE and floor planners to manage block and top-level constraints and perform 1st-level timing analysis.
• Synthesis: Conduct synthesis exploration and deliver final netlists, including scan insertion, UPF, and clean Lint/Spyglass checks.
• Place & Route: Drive the flow from synthesis netlist to final layout and signoff verification, with a focus on optimizing PPA (Power, Performance, and Area).
• Signoff : on all physical design domains- STA, IR/EM, Physical Verification, Logic Equivalent Checking, Low Power Verification.

All you need is:

• BSc or MSc in Computer Engineering or Electrical Engineering.
• 5+ years of experience in the Physical Design field
• Proficiency in scripting languages (Tcl, Python, Perl, or tcsh).
• A team player with excellent communication skills and a “can-do” attitude.

Nice to have:

• Experience in developing or maintaining implementation tools and design flows.
• Experience with high-speed interfaces (DDR/PCIE).
• Experience with advanced nodes (5nm and below).

What will your job look like:

• You'll be responsible for Pre-Silicon system-level verification of the most cutting-edge AI accelerators and technologies in the automotive field.
• Define the TestPlan, develop and run tests on simulation/emulation environments, develop test environment and verification collaterals.
• You'll have a broad effect on our unique product from the very beginning of the process.

All you need is:

• BSc in electrical engineering, computer engineering or computer science.
• 7+ years of experience working in verification environment, tests, and test bench development (C/C++/SV).
• TestPlan defining and Coverage-Driven Verification experience.
• Fullchip/SOC verification experience, strong system understanding.
• Good debug capabilities using the latest EDA tools.
• Knowledge in Industry Standard protocols such as AXI/ACEL/OCP/CHI.

Nice to have:

• SW embedded experience, C/C++ skills.
• Strong skills in scripting Perl/Python.
• System Verilog writing skills, preferably in OVM/UVM.
• 3rd-party IPs integration testing experience.

What will your job look like:

• You'll be responsible for Pre-Silicon system-level verification of the most cutting-edge AI accelerators and technologies in the automotive field.
• Define the TestPlan, develop and run tests on simulation/emulation environments, develop test environment and verification collaterals.
• You'll have a broad effect on our unique product from the very beginning of the process.

All you need is:

• BSc in electrical engineering, computer engineering or computer science.
• 7+ years of experience working in verification environment, tests, and test bench development (C/C++/SV).
• TestPlan defining and Coverage-Driven Verification experience.
• Fullchip/SOC verification experience, strong system understanding.
• Good debug capabilities using the latest EDA tools.
• Knowledge in Industry Standard protocols such as AXI/ACEL/OCP/CHI.

Nice to have:

• SW embedded experience, C/C++ skills.
• Strong skills in scripting Perl/Python.
• System Verilog writing skills, preferably in OVM/UVM.
• 3rd-party IPs integration testing experience.

What will your job look like?

• Define, implement and enhance verification environments using UVM methodology.
• Write and debug tests that combine UVM methodology and SW code.
• Identify and write various types of coverage measures.
• Collaborate with designers, architects, and SW developers from Haifa and Jerusalem teams to deliver the most comprehensive verification environment.
• Integrate Industry Standard (such as AXI and OCP) and other 3rd party VIPs. 

All you need is:

• BSc in electrical engineering, computer engineering, or computer science
• 8+ years of experience working in verification environment, tests, and test bench development (SV/UVM/C/C++)
• System Verilog writing skills, preferably in OVM/UVM
• SW embedded experience, C/C++ skills
• TestPlan defining and Coverage-Driven Verification experience
• 3rd-party IPs integration testing experience
• Waveform debugging with the latest EDA tools, root-cause bugs independently
• Skills in scripting Perl/Python - Advantage
• Knowledge in Industry Standard protocols such as AXI/OCP/APB - Advantage

What will your job look like:

• End-to-End Problem Solving: Autonomously "close the loop" on complex issues—moving beyond basic data validation to actively defining problems, understanding their systemic impacts, and independently proposing concrete, deployment-ready solutions.
• System-Wide Collaboration: Collaborate with cross-functional teams to define data requirements and validation objectives, understanding how various components and APIs connect across the broader architecture.
• Deep Data Analysis: Analyze and deep-dive into large, complex datasets, summarizing results into actionable reports and concrete directions to improve the system.
• Process Optimization: Improve the sensitivity, efficiency, effectiveness, and quality of validation processes, delivering mature results that minimize the need for repetitive testing cycles.
• Proactive Mitigation: Monitor validation progress, anticipate potential bottlenecks or risks, and implement mitigation strategies independently.

All you need is:

• B.Sc. in Computer Science, Software Engineering, Psychology, Economics, Philosophy, or a related scientific/analytical field.
• Exceptional Analytical Capabilities: A proven ability to break down complex problems and derive actionable, systemic improvements.
• High Independence & Ownership: Demonstrated ability to learn new material quickly, work with minimal managerial supervision, and deliver high-impact, mature deliverables.
• Systematic Approach: Broad vision with the ability to "connect the dots" across multi-step pipelines and ask the right strategic questions.
• Stakeholder Management: Excellent communication skills with the ability to work effectively alongside many stakeholders in a fast-paced, high-intensity environment.
• Experience analyzing or taking an active part in managing complex, multi-component systems- an advantage
• Experience in data analysis using coding and agentic tools- an advantage

What will your job look like:

• Lead end-to-end development of features - from design and implementation to integration, testing, and deployment
• Build ML pipelines for data-based diverse dataset creation and efficient model inference.
• Design data selection and sampling strategies to ensure coverage of rare and critical scenarios.
• Partner with algorithm teams to translate model weaknesses into data curation criteria.
• Develop validation and diagnostics to measure dataset quality—not just pipeline health but training effectiveness.
• Integrate neural network models into C++ production systems, including runtime, data flow, and pre/post‑processing.
• Bring models from research/prototype stage into robust, production‑ready deployments.
• Optimize runtime performance (latency, memory, and throughput) in resource‑constrained environments.
• Contribute to deployment flows (e.g., model conversion, profiling, optimization).
• Build and improve CI/CD pipelines, automated testing, and development workflows.

All you need is:

• B.Sc. in Computer Science, Software Engineering, or equivalent.
• 3+ years of hands-on C++ development experience.
• 3+ years of hands-on Python development experience, including the PyData stack (NumPy, Pandas).
• Experience working in Linux environments.
• Strong motivation to work closely with deep learning algorithms and production of AI systems
• Interest in neural network deployment on edge devices, including inference runtimes, performance optimization, and model integration.
• Proven ability to work across team boundaries (algorithms, infra, product).
• Strong motivation to work on production AI systems and deep learning integration.
• Interest in edge deployment, inference runtimes, and performance optimization.

Nice to have:

• Experience with autonomous-driving datasets or perception pipelines.
• Background in 3D geometry and/or strong mathematical foundation.
• Experience with workflow orchestration tools (Airflow, Argo).
• Familiarity with data curation techniques (e.g., active learning, hard example mining, distribution balancing).
• 2+ years in data engineering or backend systems with large‑scale data (production environments).

What will your job look like:

• Lead end-to-end development of features - from design and implementation to integration, testing, and deployment.
• Build ML pipelines for data-based diverse dataset creation and efficient model inference.
• Design data selection and sampling strategies to ensure coverage of rare and critical scenarios.
• Partner with algorithm teams to translate model weaknesses into data curation criteria.
• Develop validation and diagnostics to measure dataset quality—not just pipeline health but training effectiveness.
• Integrate neural network models into C++ production systems, including runtime, data flow, and pre/post‑processing.
• Bring models from research/prototype stage into robust, production‑ready deployments.
• Optimize runtime performance (latency, memory, and throughput) in resource‑constrained environments.
• Contribute to deployment flows (e.g., model conversion, profiling, optimization).
• Build and improve CI/CD pipelines, automated testing, and development workflows.

All you need is:

• B.Sc. in Computer Science, Software Engineering, or equivalent.
• 3+ years of hands-on C++ development experience.
• 3+ years of hands-on Python development experience, including the PyData stack (NumPy, Pandas).
• Experience working in Linux environments.
• Strong motivation to work closely with deep learning algorithms and production of AI systems
• Interest in neural network deployment on edge devices, including inference runtimes, performance optimization, and model integration.
• Proven ability to work across team boundaries (algorithms, infra, product).
• Strong motivation to work on production AI systems and deep learning integration.
• Interest in edge deployment, inference runtimes, and performance optimization.

Nice to have:

• Experience with autonomous-driving datasets or perception pipelines.
• Background in 3D geometry and/or strong mathematical foundation.
• Experience with workflow orchestration tools (Airflow, Argo).
• Familiarity with data curation techniques (e.g., active learning, hard example mining, distribution balancing).
• 2+ years in data engineering or backend systems with large‑scale data (production environments).

Who you are

• A motor control specialist who can take a noisy, nonlinear physical joint and make it track like a servo catalog page
• Equally fluent in control theory and in what the silicon can actually compute in a 60 kHz loop
• Data-driven: you tune with measurements, plots, and system identification - not by feel alone

Responsibilities

• Define and validate the motor control methodology across the robot: FOC and commutation strategies for BLDC motors in quasi-direct-drive configurations with planetary reduction
• Design current, velocity, and position/torque control loops; define bandwidths, filtering, anti-windup, and saturation handling
• Develop torque estimation, friction and cogging compensation, and observers for joint state
• Define joint-level safety limits and fault-handling behavior together with embedded
• Guide and verify the embedded implementation of your algorithms on the Motor Controller PCB; co-own everything running on that board
• Design and execute structured characterization tests on the joint dyno: torque, speed, resolution, responsiveness, thermal behavior
• Deliver validated actuator models and control limitations to the Sim2Real and RL teams - your measured envelopes become their training constraints
• Drive improvements in actuation repeatability and responsiveness through precise measurement and feedback

Requirements

• B.Sc. or M.Sc. in Electrical, Mechanical, or Control Engineering (or equivalent experience)
• 8+ years in motor control systems or motion system integration
• Deep hands-on experience with FOC and current/velocity/position loop design for BLDC motors
• Familiarity with planetary gear systems and QDD architectures, and their impact on control and sensing
• Proven ability to define and lead performance test plans from lab setup to interpretation
• Comfortable using lab tools (oscilloscopes, encoders, current sensors) to evaluate dynamic behavior under load and in closed loop
• Impedance control and proprioceptive actuation experience

Advantages

• Experience in robotic or humanoid actuation or servo drive companies
• Familiarity with harmonic gear systems and their control implications
• Python for scripting, system identification, and data analysis
• Understanding of how sensor noise, latency, and actuation limits affect learned whole-body policies
• Comfortable communicating technical topics in English with international teams

What will your job look like?

• Your job will include a combination of algorithm development and programming in Python and C++
• Work with image-based data, focusing on extracting and representing spatial information accurately and efficiently
• Take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment
• Collaborate closely with engineering and research teams in computer vision, data engineering, and related fields to deliver real-world solutions

All you need is:

• B.Sc. in Computer Science, Electrical Engineering, Mathematics or Physics
• Advanced degree (M.Sc. or Ph.D.) – advantage 
• A proven record of excellence – academically and professionally 
• Hands-on experience with Python or C++ 
• Proven ability to solve complex problems 

What will your job look like:

• Hands-on physical design block owner from RTL to GDS with horizontal ownership.
• Floorplan exploration and collaboration with front-end and architecture teams.
• Synthesis exploration and final synthesis including: SDC definition, Scan insertion, Lint, LEC, UPF-LP & Spyglass verification.
• Place & Route: from Synthesis to final layout and signoff verification on all tools and floors, with target to achieve best PPA.
• STA: timing analysis, working with Sub System and Full Chip owners to manage block and top level constraints for synthesis, P&R and signoff.
• Signoff : on all physical design domains- STA, IR/EM, Physical Verification, Logic Equivalent Checking, Low Power Verification.

All you need is:

• BSc or MSc degree in Computer Engineering or Electrical Engineering.
• 8+ years experience in the Physical Design field.
• Team player with excellent communication skills, customer orientation, and a “can-do” attitude.
• Experience in scripting languages like Tcl/Python/Perl/TCSH.

Nice to have:

• Experience with high speed interfaces (DDR/PCIE).
• Experience with advanced nodes (5nm and below).
• Building or maintaining implementation tools and flow.

What will your job look like:

• Design, build and optimize software modules for production grade imaging-radar solution Implement complex algorithms in a multi-core platform with high bandwidth with distributed memory.
• Work closely with algorithms teams to convert complex MATLAB code to efficient real-time environment.
• Plan memory arrangement, data transfers and pipelining of computation, to maximize DSP utilization.

All you need is:

• B.Sc/ M.Sc in Computer Engineering, Computer Science or Electrical Engineering.
• 5+ years software development experience in C in DSP\Embedded environment.
• Strong understanding of MATLAB.
• Curious, versatile, effective developer.
• Experience working in a multi-core environment - advantage.
   

Who you are 期待中的你

• A deep RL practitioner who has actually transferred policies to physical legged robots - not only benchmarks
• Strong engineer first: your training code is infrastructure, not a notebook
• Comfortable being the owner of the robot's most visible capability

Responsibilities 岗位职责

• Design, train, and iterate whole-body RL policies in Isaac Sim/Newton: walking, balance recovery, manipulation, and coordinated loco-manipulation behaviors
• Own reward design, curriculum learning, and training methodology; incorporate motion priors (mocap/imitation, AMP-style) for natural movement
• Build and maintain the training infrastructure: massively parallel simulation, experiment tracking, evaluation suites
• Work with the Sim2Real engineer to bake measured actuator constraints and domain randomization into training
• Work with the compute platform engineer to deploy policies on the robot and run on-hardware evaluation
• Progressively expand the policy's capability envelope - from first steps to dynamic, contact-rich whole-body tasks
• Define what the policy observes and commands together with motion control and platform teams - you co-own the robot's core software contract

Requirements任职要求

• M.Sc. or Ph.D. (or equivalent industry experience) in Computer Science, Robotics, or a related field
• 5+ years of hands-on deep RL for robotics with strong PyTorch engineering skills
• Direct experience with Isaac Sim/Newton (or equivalent GPU-parallel simulators) for whole-body RL on legged robots
• Proven sim-to-real transfer of at least one policy to a physical legged robot
• Deep understanding of PPO-family training at scale, reward shaping, and curriculum design

Advantages加分项

• Familiarity with IsaacLab
• Humanoid (vs. quadruped) whole-body RL experience
• Experience with motion-imitation methods (AMP, DeepMimic-style) and mocap data pipelines
• Publications in top robotics/ML venues (RSS, CoRL, ICRA, NeurIPS) or experience at leading humanoid teams
• Experience with teleoperation or demonstration data pipelines for whole-body skills
• Comfortable communicating technical topics in English with international teams

Who you are?

• A builder-leader who still opens CAD, schematics, and code
• A first-principles thinker who questions assumptions and iterates fast
• Comfortable making decisions with incomplete information and owning the consequences
• Experienced in taking a full humanoid or legged robot from concept to a walking machine

Responsibilities:

• Own the full system architecture: DOF budget, torque/mass targets, kinematic layout, compute and power architecture
• Act as the integration authority between hardware, embedded, control, simulation, and AI teams - own every cross-domain interface
• Define the roadmap and milestones (first joint, first leg on dyno, first stand, first steps) and drive the team to hit them
• Make build-vs-buy decisions for actuators, sensors, and compute together with the sourcing and actuation teams
• Absorb program management: planning, prioritization, risk tracking, and reporting to leadership
• Set the engineering culture: fast iteration, rigorous documentation, and clean handoff of the platform to product teams
• Hire, mentor, and grow the team

Requirements:

• B.Sc. or M.Sc. in Mechanical, Electrical, or Robotics Engineering (or equivalent experience)
• 8+ years in robotics, with a leading role in shipping at least one full humanoid or advanced legged platform
• Deep cross-domain fluency: actuation, power electronics, real-time control, and learning-based whole-body control
• Proven ability to define system architecture and arbitrate trade-offs across disciplines
• Track record of leading small, senior teams through fast prototype cycles
• Fluent English and Mandarin; comfortable working with an international engineering organization

Advantages:

• Experience at a leading humanoid company in a system or platform role
• Hands-on familiarity with RL-based whole-body control stacks (Isaac Sim / Newton)
• Experience standing up a new site, lab, or team from scratch

Who you are

• An actuator specialist first, a general mechanical engineer second
• A first-principles thinker who questions assumptions and iterates fast
• Hands-on in the lab: you build, instrument, and break your own designs
• Comfortable with ambiguity and rapidly changing requirements

Responsibilities岗位职责

• Design high torque-density actuator modules for legs, waist, and arms: quasi-direct-drive architectures with planetary reduction - motor selection/specification, gear design, bearings, sealing, and packaging
• Own the torque, speed, thermal, and mass budgets per joint, aligned with the system DOF and mass targets
• Drive quasi-direct-drive vs. high-reduction trade-offs together with the motion control team
• Integrate sensing into the joint: encoders, temperature, and torque estimation provisions
• Design the surrounding structure - limbs, torso frame, brackets - optimized for fast fabrication (machined plates, printed parts)
• Own designs from concept through fabrication: CAD, tolerance analysis, DFM for prototype quantities, and supplier follow-up
• Run joint-level dyno and life testing with the V&V engineer; iterate based on data
• Work daily with electrical and embedded teams on the motor controller integration

Requirements任职要求

• B.Sc. or M.Sc. in Mechanical Engineering or Mechatronics
• 8+ years designing electromechanical actuation systems: BLDC motors with planetary reduction, ideally in quasi-direct-drive (QDD) configurations
• Deep understanding of motor physics: torque constants, saturation, thermal limits, and their impact on transmission choice
• Strong CAD skills (SolidWorks/NX/Creo) and proven concept-to-hardware track record
• Experience with structural design, materials selection, and prototype fabrication methods
• Hands-on lab and test experience with rotating machinery

Advantages加分项

• Experience designing humanoid or quadruped joint modules
• Experience with gear design and gear suppliers or custom motor winding specification
• Deep experience with proprioceptive actuation and back drivability optimization
• Thermal simulation and FEA experience
• Comfortable communicating technical topics in English with international teams

What will your job look like:

• Design and optimize algorithms and pipelines for large scale model inference.
•  Build scalable systems for high throughput data processing and streaming.
• Develop data transformation and preprocessing components for ML workloads.
• Improve performance, efficiency, and reliability across distributed inference systems.
• Work closely with ML researchers, infrastructure, and platform teams.
• Drive architectural decisions for production ML and data systems.

All you need is:

•  5+ years of experience in Algorithm Engineering, ML Infrastructure, or Data Systems.
• Strong programming skills in Python.
• Hands on experience with Spark, Polars, Pandas, DuckDB, and AWS.
• Strong understanding of distributed systems, scalability, and performance optimization.
• Experience building or supporting ML inference pipelines in production.
• Strong system design and architecture skills.

What will your job look like?

• Take part in designing and developing large-scale network applications running on our cutting edge platforms which have our industry leading EyeQ chip.
• You will work on a complex real-time system involving multiple sensors as part of a broader automotive system architecture.
• The main application is developed in C++ for Linux environments.
• You will develop advanced simulation software used company-wide, integrating the latest Mobileye technologies.

All you need is:

• BSc or MSc in Computer Science or Electrical Engineering (with a strong computer science background).
• At least 7 years of experience in C++ development- Must
  
• Hands-on experience working in Linux environments.
• Knowledge of network protocols (Ethernet, IP, UDP etc) with practical experience - Advantage.
• Strong analytical skills.
• Success-oriented and Can-do approach.
• Background in software profiling, debugging, and performance optimization.

What will your job look like:

• Design and implement large-scale C++ systems around AI and algorithmic pipelines for 3D sensing and perception in a real-time, vehicle-oriented environment.
• Integrate neural network models into production software — including model runtime integration, sensor/data flow, pre/post-processing, and system-level validation — for tasks such as 3D reconstruction, object detection, and localization.
• Work closely with deep learning, computer vision, and 3D algorithm teams to take models from research/prototype stage into robust production systems on the vehicle.
• Build and own application-level infrastructure that enables algorithmic and neural network solutions to run efficiently on edge devices under strict latency and resource constraints.
• Optimize runtime performance, memory usage, latency, and throughput for high-precision 3D perception workloads in resource-constrained environments.
• Contribute to neural network deployment flows, such as ONNX Runtime integration, model conversion, inference execution, profiling, and optimization.
• Lead end-to-end development of features — from design and implementation to integration, testing, and deployment.
• Take part in building CI/CD processes, automated testing, and development workflows for production algorithm systems.
• Debug complex real-time systems involving C++ infrastructure, 3D algorithmic logic, and neural network execution.
• Collaborate with multiple teams across Mobileye, gaining deep exposure to both system architecture and state-of-the-art 3D sensing and AI algorithms.
• Gradually take broader technical ownership, mentor others, and grow into a technical leadership or small team leadership role.

All you need is:

• B.Sc. in Computer Science, Software Engineering, or equivalent.
• 5+ years of hands-on C++ development experience.
• Strong understanding of object-oriented design, software architecture, and large-scale system development.
• Experience working in Linux environments.
• Strong motivation to work close to deep learning algorithms and production AI systems for autonomous vehicle 3D sensing.
• Interest in neural network deployment on edge devices, including inference runtimes, performance optimization, and model integration.
• A proactive, ownership-driven mindset, with interest in growing into a broader technical leadership role.

Nice to have:

• Experience with performance optimization, memory efficiency, and real-time systems.
• Experience with ONNX Runtime, TensorRT, or similar inference runtimes.
• Familiarity with CI/CD processes and automated testing.
• Experience working closely with algorithm, computer vision, deep learning, 3D perception, or data teams.
• Background in 3D computer vision, multi-view geometry, point clouds / depth, object detection, localization, or embedded/edge AI deployment.
• Experience with sensor fusion or camera/lidar-based perception pipelines.

What will your job look like:

• Take part in technical design and decision-making, balancing performance, scalability, and maintainability.
• Debugging real-time oriented code while adhering to high standards of memory management and running-time requirements.
• Manage the group’s software delivery, ensuring timely, high‑quality releases.
• Opportunities to work on cutting-edge projects and technologies in the autonomous driving industry.
• Working closely with external algo teams and various departments in Mobileye for requirement gathering and the correct integration of new features.

All you need is:

• Bachelor's degree in Computer Science, Computer Engineering, or a similar field.
• 4+ years of hands-on C++ development experience, with in-depth knowledge of object-oriented design principles.
• Experience working with real-time systems and meeting stringent memory and running-time requirements.
• Proven debugging skills and ability to move from symptoms to root cause.

Nice to have:

• Experience in building and maintaining CI\CD tools.
• Experience with Python.

What will your job look like:

• Take part in technical design and decision-making, balancing performance, scalability, and maintainability.
• Debugging real-time oriented code while adhering to high standards of memory management and running-time requirements.
• Manage the group’s software delivery, ensuring timely, high‑quality releases.
• Opportunities to work on cutting-edge projects and technologies in the autonomous driving industry.
• Working closely with external algo teams and various departments in Mobileye for requirement gathering and the correct integration of new features.

All you need is:

• Bachelor's degree in Computer Science, Computer Engineering, or a similar field.
• 4+ years of hands-on C++ development experience, with in-depth knowledge of object-oriented design principles.
• Experience working with real-time systems and meeting stringent memory and running-time requirements.
• Proven debugging skills and ability to move from symptoms to root cause.

Nice to have:

• Experience in building and maintaining CI\CD tools.
• Experience with Python.

What will your job look like:

• Design and develop software integration and automation solutions that support Mobileye's development and validation environments.
• Build scalable infrastructure, tools, and frameworks that enable efficient software integration across multiple platforms.
• Develop automation pipelines to improve software delivery, testing, deployment, and system reliability.
• Analyze complex software systems, identify integration challenges, and drive performance and stability improvements.
• Take ownership of system-level debugging, troubleshooting, and root-cause analysis across software components.
• Collaborate closely with software, DevOps, infrastructure, validation, and system engineering teams to deliver robust end-to-end solutions.
• Contribute to software architecture, integration strategy, and engineering best practices across the organization.
• Continuously improve development workflows by introducing automation, monitoring, and infrastructure enhancements.

All you need is:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• 5+ years of experience in software development, with a strong background in embedded and/or real-time systems.
• Strong programming skills in modern C++ and solid experience with Python.
• Hands-on experience working with hardware/software interfaces, low-level debugging, and system performance optimization.
• Strong analytical and problem-solving skills, with the ability to work effectively in a multidisciplinary environment.

Nice to have:

• Experience with automotive Radar and/or LiDAR technologies and related communication protocols.
• Experience with firmware development.
• Experience optimizing software for specialized hardware platforms such as DSPs or hardware accelerators.
• Familiarity with ADAS or autonomous driving systems.

What will your job look like:

• Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you  will contribute across the full stack alongside the rest of the team.
• Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
• Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
• Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
• Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
• Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
• Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

All you need is:

• 4+ years in data engineering or backend/software engineering with serious data work — pipelines that run in production, not just notebooks.
• Strong Python and the PyData stack (NumPy, PyArrow, Pandas, DuckDB).
• Some background in research, algorithms, or ML — enough that you can read a paper, understand a model's outputs, and have informed conversations with algorithm engineers.
• Comfort working with vision-model outputs as data: embeddings, detection results, VLM responses.
• Ability to work across team boundaries — this role lives between algorithm teams, infra teams, and our own.
• Experience with autonomous-driving datasets or perception pipelines.
• 3D geometry and camera model intuition (or the mathematical background to ramp up).
• Workflow orchestration (Argo, Airflow, Kubeflow).
• Vector databases or columnar analytics (LanceDB, DuckDB, Parquet at scale).
• Familiarity with curation concepts (active learning, hard-example mining, distribution balancing) — useful context, not a requirement.
• Exposure to LLM agents or agentic workflows for data tasks.

What will your job look like:

• Optimize distributed data and evaluation pipelines for memory efficiency, throughput, and training performance.
• Build tools for data exploration, manipulation, validation, and quality assessment.
• Own model manipulation, packaging, distribution workflows, and interfaces with downstream deployment and EyeQ integration.
• Coordinate data contracts and workflows with researchers, infrastructure and data teams, and internal customers across Mobileye.

All you need is:

• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related field from a leading university.
• 4+ years of hands-on software or data-engineering experience.
• Excellent Python and Linux skills with strong software-engineering foundations.
• Strong experience with SQL, Spark, and PyArrow.
• Experience optimizing distributed pipelines or compute-intensive systems for memory use and parallel execution.
• Familiarity with PyTorch and ML workflows, including datasets, training, checkpoints, evaluation, and GPU computation.
•  Strong ownership, independent problem-solving, and cross-team collaboration skills. 

Nice to have:

• Master's degree in a relevant field.
• Experience in computer vision or autonomous-driving systems.
• Familiarity with model deployment, hardware-aware ML, or specialized AI accelerators.

All you need is:

• PhD in Computer Science or a related discipline (exceptional MSc candidates will be considered).
• 4+ years of hands-on experience developing deep learning algorithms in Python.
• Experience building end-to-end DL pipelines: data preparation, training, evaluation, and deployment.
• Proficiency in at least one deep learning framework (e.g., TensorFlow, PyTorch).
• Excellent problem-solving skills and a research-oriented mindset.
• Industry experience in DL or software development.
• Familiarity with hardware-aware model optimization.
• Experience with cloud platforms (e.g., AWS), Docker, and Linux environments.
• Publications or contributions in the fields of deep learning, neural architecture search, knowledge distillation or multi-task learning.

What will your job look like?

• Develop embedded Software / FW for RTOS-based embedded system
• Participate in System Level Design and Architecture defining hardware-software interface and interaction.
• Successfully collaborate with system, algo, silicon, and hardware teams
• Support system integration

All you need is:

• Bachelor's degree in Computer Science, Electronics Engineering or a related field
• 5+ years of experience in embedded SW development, writing in C language 
• Experience with RTOS and bare metal embedded systems and device driver development
• Experience with HW/SW interfaces at both the board and chip level
• Excellent interpersonal and communication skills
• Experience with RF systems - advantage 
• Experience with Python scripts - advantage

What will your job look like:

• Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you  will contribute across the full stack alongside the rest of the team.
• Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
• Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
• Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
• Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
• Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
• Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

All you need is:

• 4+ years in data engineering or backend/software engineering with serious data work — pipelines that run in production, not just notebooks.
• Strong Python and the PyData stack (NumPy, PyArrow, Pandas, DuckDB).
• Some background in research, algorithms, or ML — enough that you can read a paper, understand a model's outputs, and have informed conversations with algorithm engineers.
• Comfort working with vision-model outputs as data: embeddings, detection results, VLM responses.
• Ability to work across team boundaries — this role lives between algorithm teams, infra teams, and our own.

Nice to have:

• Experience with autonomous-driving datasets or perception pipelines.
• 3D geometry and camera model intuition (or the mathematical background to ramp up).
• Workflow orchestration (Argo, Airflow, Kubeflow).
• Vector databases or columnar analytics (LanceDB, DuckDB, Parquet at scale).
• Familiarity with curation concepts (active learning, hard-example mining, distribution balancing) — useful context, not a requirement.
• Exposure to LLM agents or agentic workflows for data tasks.

What will your job look like:

• Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you  will contribute across the full stack alongside the rest of the team.
• Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
• Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
• Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
• Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
• Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
• Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

All you need is:

• 4+ years in data engineering or backend/software engineering with serious data work — pipelines that run in production, not just notebooks.
• Strong Python and the PyData stack (NumPy, PyArrow, Pandas, DuckDB).
• Some background in research, algorithms, or ML — enough that you can read a paper, understand a model's outputs, and have informed conversations with algorithm engineers.
• Comfort working with vision-model outputs as data: embeddings, detection results, VLM responses.
• Ability to work across team boundaries — this role lives between algorithm teams, infra teams, and our own.

Nice to have:

• Experience with autonomous-driving datasets or perception pipelines.
• 3D geometry and camera model intuition (or the mathematical background to ramp up).
• Workflow orchestration (Argo, Airflow, Kubeflow).
• Vector databases or columnar analytics (LanceDB, DuckDB, Parquet at scale).
• Familiarity with curation concepts (active learning, hard-example mining, distribution balancing) — useful context, not a requirement.
• Exposure to LLM agents or agentic workflows for data tasks.

What your job will look like:

• You will have full responsibility over a development and design of logics and components that are essential for the Mobileye map.
• Intensive teamwork along the development path - internally with the algorithmic team and externally with other teams.
• Development of a high-performance computing system.
• Will take part on making the world's roads a safer place.

All you need is:

• B.Sc. in Computer Science / Engineering.
• 5+ years experience as a SW developer.
• Algorithmic-oriented SW development.
• Ability to understand complicated and algorithmic system.
• Experience services and SPARK - an advantage.

What will your job look like:

• Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
• Take ownership of system architecture and technical design, from high-level design to implementation.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Develop and maintain Python applications for various projects.
• Optimize applications for maximum speed.
• Write clean, efficient, and well-documented code.
• Troubleshoot and debug issues as they arise.
• Stay up-to-date with the latest industry trends and best practices.
• Help shape a structured, collaborative, and improvement-driven engineering culture.

All you need is:

• Bachelor's degree in Computer Science, Engineering, or a related field- Must.
• At least 5 years of experience as a Python developer- Must.
• Experience in software architecture and system design - Must.
• Strong understanding of Python and its core principles.
• Team player with strong communication skills, able to mentor others and lead technical discussions.
• Ability to work independently and take ownership of projects.
• Independent, proactive, and quick to learn, with a creative mindset for solving complex challenges.

What will your job look like?

• Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
• Take ownership of system architecture and technical design, from high-level design to implementation.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Develop and maintain Python applications for various projects.
• Optimize applications for maximum speed.
• Write clean, efficient, and well-documented code.
• Troubleshoot and debug issues as they arise.
• Stay up-to-date with the latest industry trends and best practices.
• Help shape a structured, collaborative, and improvement-driven engineering culture.

All you need is:

• Bachelor's degree in Computer Science, Engineering, or a related field- Must.
• At least 5 years of experience as a Python developer- Must.
• Experience in software architecture and system design - Must.
• Strong understanding of Python and its core principles.
• Team player with strong communication skills, able to mentor others and lead technical discussions.
• Ability to work independently and take ownership of projects.
• Independent, proactive, and quick to learn, with a creative mindset for solving complex challenges.

What Will your Job Look Like?

• Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
• Take ownership of system architecture and technical design, from high-level design to implementation.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Develop and maintain Python applications for various projects.
• Optimize applications for maximum speed.
• Write clean, efficient, and well-documented code.
• Troubleshoot and debug issues as they arise.
• Stay up-to-date with the latest industry trends and best practices.
• Help shape a structured, collaborative, and improvement-driven engineering culture.

All you need is:

• Bachelor's degree in Computer Science, Engineering, or a related field- Must.
• At least 5 years of experience as a Python developer- Must.
• Experience in software architecture and system design - Must.
• Strong understanding of Python and its core principles.
• Team player with strong communication skills, able to mentor others and lead technical discussions.
• Ability to work independently and take ownership of projects.
• Independent, proactive, and quick to learn, with a creative mindset for solving complex challenges.

What will your job look like:

• Design, Develop and maintain scalable and high-performance end-to-end systems.

• Collaborate with cross-functional teams to define and deliver new features.

• Write clean, maintainable, and well-documented code.

• Participate in code reviews and contribute to best practices.

• Troubleshoot, debug, and optimize existing systems.
  
  
  

All you need is:

• B.Sc/BA in Computer Engineering or Computer Science - must.

•  5+ years of experience as a Software Developer - must.

•  Experience in C++ programming language - must.

• Low-level SW development and debugging experience.

• Experience in Linux OS.

• Familiarity with CI/CD pipelines.

• Experience with version control systems (e.g., Git).

• Strong verbal skills in English.

Nice to have:

• Experience with Python programming language.
• Experience with containerization tools (Docker, Kubernetes).

What will your job look like:

• Take part in building an AI search platform from scratch, and owning it end to end in a production environment.
• Design and implement full-stack solutions, including backend services, frontend interfaces, and database management.
• Work with cloud-based systems, containers, and modern software infrastructure to support performance, scale, and reliability.
• Collaborate closely with algorithm developers and internal users to expose complex capabilities in a simple, usable way.

All you need is:

• B.Sc. degree in Computer Science, Software Engineering, Information Systems, or a related field.
• 5+ years of hands-on experience in full-stack software development, including building scalable, end-to-end production systems (backend services, APIs, database design, and frontend interactions).
• Strong frontend development experience using React.
• Strong hands-on experience with Python.
• Hands-on experience working in Linux or macOS environments, including containerized development using Docker.

Nice to have:

• Experience working with cloud platforms such as AWS.
• Experience with LLM-based systems, prompt engineering, and AI frameworks such as Hugging Face.

What your job will look like:

• Design and develop high-performance C++ software for embedded automotive systems.
• Develop infrastructure for HD map download, caching, storage, and distribution.
• Build efficient APIs and communication protocols for map consumers.
• Develop map-based algorithms, including routing and lane network generation.
• Optimize software for performance, memory usage, and reliability.
• Collaborate with algorithm, cloud, and infrastructure teams to deliver production solutions.
• Lead technical design discussions and mentor other engineers.

All you need is:

• B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related field.
• At least 5 years of hands-on experience developing production software in C++.
• Strong understanding of software design and object-oriented programming.
• Experience developing embedded or performance-critical software.
• Excellent debugging and problem-solving skills.
• Ability to independently lead complex technical tasks.
• Strong communication and teamwork skills.

Nice to have:

• Experience with autonomous driving systems.
• Experience with map technologies, GIS, navigation, or routing algorithms.
• Experience with cloud-connected embedded systems.
• Experience with distributed systems or communication protocols.
• Experience optimizing software for CPU, memory, and latency.

Who you are 期待中的你

• A systems software engineer who thinks in latency budgets and memory copies
• Equally comfortable in CUDA/TensorRT and in a CAN bus trace
• You take full ownership from kernel configuration to inference output

Responsibilities

• Own the onboard software platform on NVIDIA Jetson: Real-Time Linux configuration, scheduling, and performance tuning
• Deploy and optimize neural network policies for real-time inference: TensorRT, quantization, zero-copy data paths, strict latency budgets
• Implement and maintain the EtherCAT/CAN master and the joint-level communication with the Motor Controller PCBs
• Integrate sensors: IMU drivers, filtering and time synchronization, cameras and additional sensing as needed
• Build the middleware that moves observations and actions between the bus and the policy at loop rate, deterministically
• Develop logging, replay, and introspection tooling for the whole robot software stack
• Work daily with the RL and Sim2Real engineers on the deployment pipeline, and with embedded on the bus API

Requirements

• B.Sc. in Computer Science, Engineering, or a related field
• 8+ years of software engineering with heavy C/C++ focus; deep understanding of modern C++, memory management, and parallelism
• Extensive experience developing and debugging in embedded Linux environments; real-time or low-latency systems experience
• Hands-on experience deploying neural networks on edge platforms (NVIDIA Jetson, TensorRT or equivalent)
• Knowledge of embedded communication protocols: EtherCAT, CAN, SPI, I2C
• Production-grade Python for tooling and pipelines
• Experience with PREEMPT_RT kernels and real-time performance monitoring

Advantages

• Experience with GPU-accelerated services using zero-copy mechanisms to minimize data transfer latency
• ROS 2 experience
• Background in autonomous driving or edge-AI platforms
• Comfortable communicating technical topics in English with international teams

What will your job look like:

• Build and maintain infrastructure for large‑scale AI and HPC workloads across on‑prem and cloud environments.
• Operate and enhance our multi‑cloud, multi‑cluster scheduling platform.
• Troubleshoot complex issues across the stack: from kernel-level tuning and drivers to networking, storage, and distributed system bottlenecks.
• Ensure the reliability of critical platform services: queuing systems, time-series databases, and logging pipelines.
• Develop deeply integrated automation and tooling.
• Collaborate with ML engineers and IT engineers to optimize hardware utilization for data intensive workloads.
• Drive best practices in system design, observability, and infrastructure-as-code.

All you need is:

• 10+ years of hands‑on experience in SRE, Linux Administration, or Systems Engineering.
• Expert-level Linux knowledge: Deep understanding of system internals, debugging, performance tuning, and the ability to solve failures where hardware meets software.
• Kubernetes Expertise: Proven experience managing K8s at scale (both managed EKS and bare-metal deployments).
• Distributed Systems Mastery: Hands-on experience debugging and maintaining:Queuing Systems: RabbitMQ or similar.
• Metrics/Observability Stacks: Prometheus, Thanos, and Grafana, or similar.
• Logging: Elasticsearch or similar.
• Relational Databases: PostgreSQL, or similar.
• Infrastructure-as-Code: Proficiency with Terraform, Helm, and configuration management.
• Networking & Scripting: Strong fundamentals in networking and proficiency in Bash.

Nice to have:

• Familiarity with GPU/Accelerator scheduling, AI/ML pipelines.
• Experience with multi cloud architectures and hybrid environments.
• Experience with workflow orchestration tools (e.g., Argo Workflows).

What will your job look like:

• Define high level requirements for cutting-edge, automotive imaging radar.
• Design System architectures and flows for critical functions, such as power management, safety monitoring and security.
• Research and architecture for improving Radar KPI's and capabilities.
• Engage with customers, analyze and understand customer requirements.
• Work closely with SW, Algo, HW, VLSI and validation teams.

All you need is:

• B.Sc. in Electrical Engineering, Systems Engineering, or a related field. M.Sc - advantage.
• 5+ years of experience in system architecture of complex multi-disciplinary systems or chip architecture.
• Proven experience in defining high level system requirements and translating them to lower level specifications for software\VLSI teams.
• Strong verbal and written communication skills.

Nice to have:

• Experience with automotive or radar domain, security, ISO 26262, ASPICE, or other automotive standards.
• Background in ADAS or autonomous driving systems.

What will your job look like:

• Engage directly with customers to analyze requirements and negotiate existing solutions to meet their needs.
• Define system requirements and architecture that align with customer needs and integrate with Mobileye's software (SW) and hardware (HW) products.
• Collaborate with Product Management to ensure architectural coherence across the entire product lines.
• Work closely with Project Managers to define and prioritize engineering R&D scopes and product release dependencies.
• Drive cross-functional technical alignment:  Work with HW, embedded SW, system architects, and validation leads to ensure designs are verifiable (DFV), interfaces are testable, and assumptions are reviewed and documented.
• Ensure compliance with ASPICE Level 2 standards for System and Software Requirements and Architecture.
• Own risk management and escalation: Identify verification gaps and high-risk features; propose mitigation plans and drive execution across teams.

All you need is: 

• B.Sc. in Electrical Engineering / Computer Engineering / Computer Science (M.Sc. – advantage.
• 5+ years of Experience in System Architecture with strong knowledge in writing embedded system and software requirements.
• Strong understanding of ECU architecture: MCUs/SoCs, memory, power, networking (CAN/CAN FD, Automotive Ethernet), diagnostics (UDS), boot and update flows.
• Experience supporting OEM/Tier 1 technical reviews, assessments, and audits with structured evidence packages.
• Excellent communication and stakeholder management skills; ability to lead without authority across R&D, suppliers, and customers.
• Familiarity with System methodologies: Including customer requirements elicitation, analysis, specification, validation, and traceability.

Nice to have:

• Experience with Autosar Classic/Adaptive and related tooling/ecosystems.
• Experience with requirements and traceability tools (e.g., DOORS/ Polarion) and with structured review processes and documentation.
• Knowledge of automotive standards and safety mindset (ASPICE, ISO 26262).

What will your job look like?

• Provide technical leadership in Mobileye Robotaxi initiative and move the organization toward industrialization of Mobileye L4 platforms
• Serve as a key technical authority for hardware architecture, system-level thinking, and cross-domain technical alignment.
• Shape the technical direction of the group by contributing to long-term strategy, identifying risks, and influencing architectural decisions.
• Lead critical investigations and technical deep-dives, bringing clarity, structure, and strong judgment to complex topics.
• Guide and challenge internal and external stakeholders with confidence, ensuring ownership boundaries are clear and responsibilities remain well defined.
• Own and drive HW engineering work packages with exceptional technical rigor, ensuring high-quality execution even in resource-constrained environments.
• Support the development of robust industrialization flows and practical AI-based implementations that improve execution, efficiency, and technical quality.
• Mentor team members, including supporting transitions into management roles and strengthening team capability.
• Act as a trusted partner across Mobileye, building alignment, resolving ambiguity, and fostering effective collaboration with internal teams, customers, and suppliers.
• Maintain exceptionally high standards in engineering quality, professionalism, and ownership.

All you need is:

• 10+ years of experience in hardware engineering, system architecture, or a related technical leadership role.
• Hands-on mindset with the ability to combine strategic thinking and practical execution.
• Proven experience leading HW design or similarly critical technical domains with strong ownership and accountability.
• Deep understanding of hardware architecture, system-level tradeoffs, and cross-functional technical integration.
• Demonstrated ability to influence technical direction across teams, functions, and organizational boundaries.
• Strong leadership skills with a track record of mentoring, developing, and enabling engineers and future leaders.
• Ability to make clear technical decisions, establish priorities, and push back constructively when needed.
• Strong communication and stakeholder management skills in complex internal and external environments.
• Interest or experience in applying AI to engineering workflows, industrialization, or technical productivity improvements.
• B.Sc. or higher in Electrical Engineering, Computer Engineering, Systems Engineering, or a related field.

What will your job look like?

• Lead the thermal-mechanical design process from concept through validation, NPI, and production.
• Define cooling architectures and optimize air- and liquid-cooling solutions for high-power electronic systems.
• Perform thermal simulations and analyses using tools such as Icepak, FloTHERM, Fluent, or equivalent.
• Perform mechanical simulations and analyses using tools such as ANSYS Mechanical, Abaqus, Nastran, or equivalent.
• Correlate simulation results with lab measurements and drive solutions that meet system requirements.
• Lead thermal validation, prototyping, environmental testing, and reliability activities.
• Collaborate closely with cross-functional teams, suppliers, subcontractors, and customers.
• Support mechanical design and serve as a technical focal point for complex thermal-mechanical challenges.

All you need is:

• B.Sc. / M.Sc. in Mechanical Engineering, Thermal Engineering, Aerospace Engineering, or a related field.
• 8+ years of experience in thermal-mechanical design of electronic systems.
• Strong expertise in air- and liquid-cooling solutions for high-power electronics.
• Experience with thermal simulation tools such as Icepak, FloTHERM, Fluent, or equivalent.
• Strong understanding of heat transfer, fluid dynamics, electronics packaging, and thermal management.
• Experience with mechanical simulation tools such as ANSYS Mechanical, Abaqus, Nastran, or equivalent.
• Experience taking products from development through production.
• Excellent communication skills in Hebrew and English.

Nice to have:

• Experience with both air- and liquid-cooling solutions.
• Advanced PCB/package thermal modeling experience.
• Experience with thermal-mechanical reliability analyses.
• Experience working with Tier-1/OEM customers.
• Experience with automotive products, ECUs, or autonomous driving systems.

Who you are:

• A physics-minded engineer who treats simulation fidelity as an engineering discipline, not an afterthought
• Rigorous about system identification - you fit models to measured data
• A natural bridge between the hardware lab and the training cluster

Responsibilities:

• Build and maintain the robot's digital twin (URDF/MJCF/USD) directly from the team's CAD, tracking every hardware revision
• Model actuators from real dyno data: torque-speed envelopes, friction, backlash, latency, and thermal limits - so trained policies never demand what hardware cannot deliver
• Run system identification campaigns against the physical robot together with motion control and V&V
• Design domain randomization strategies and simulation environments in Isaac Sim with the Newton physics engine, together with the RL engineer
• Own the sim-to-hardware deployment pipeline together with the compute platform engineer: export, validation, and on-robot evaluation protocols
• Quantify and continuously reduce the sim-to-real gap with defined metrics
• Generate synthetic data and scenario suites for training and regression testing

Requirements:

• M.Sc. (or equivalent experience) in Robotics, Mechanical/Electrical Engineering, or Computer Science
• 4+ years with physics simulation for robotics: Isaac Sim/Newton, MuJoCo, or equivalent
• Strong Python; solid grasp of rigid-body dynamics, contact modeling, and actuator dynamics
• Hands-on system identification experience against physical hardware
• Experience supporting RL policy transfer to real robots (domain randomization, dynamics randomization, actuator modeling)

Advantages:

• Sim2Real work on legged or humanoid robots
• Experience with USD pipelines and CAD-to-sim automation
• Familiarity with Motor Operating Region style actuator-constraint modeling in training
• C++ for high-performance simulation components
• Comfortable communicating technical topics in English with international teams

What will your job look like:

• Identify efficiency bottlenecks in the mass production of (Autonomous Driving System, including crowdsourced mapping algorithm model), design and develop tailored technical solutions to optimize the procedures such as issue diagnosis, workflow orchestration, and large-scale software deployment, by adopting traditional automation tool development or AI/ LLM/ Agent-based intelligent solutions.
• Participate in the investigation of some complex issues, continuously iterate the automation tools and AI-powered solutions based on real pain points and with a good sense of closed-loop efficiency improvement.
• Work closely with local algorithm R&D, validation, testing and global R&D teams to align business requirements, drive automation tool/ AI-powered solution adoption, and ensure reliable production delivery of AD systems together.

All you need is:

• Master’s degree in Computer Science, Software Engineering, or a related field.
• Strong programming skills in Python.
• Programming skills in at least one system language, C++, Rust or Java.
• In total 3-5 years’ working experience, with solid experience building software tools, automation solutions, back-end services, or AI-powered solutions.
• Strong analytical and problem-solving skills.
• Ability to collaborate effectively in cross-functional engineering environments.
• Fluent in both Mandarin and English (working-level proficiency).

Nice to have:

• Experience with LLMs, AI-assisted development tools, or agent frameworks would be a strong plus.
• Background in machine learning or algorithm development.

What will your job look like:

• Customer Champion: Directly engage with customers to understand their needs, analyze requirements, and tailor our solutions to meet their specific demands.
• Visionary Architect: Define the system architecture and derive comprehensive system and software requirements that align with Mobileye's hardware and software capabilities.
• Strategic Planner: Develop consolidated timelines for multiple projects and prioritize product features.
• Collaborative Leader: Work closely with software architects,  developers and project managers to drive the product success.
• Quality Advocate: Adhere to ASPICE standards for system requirements, architecture, and software requirements, ensuring the highest quality and reliability.

All you need is:

• Technical Expertise: Bachelor's degree in Computer Science or a related field, coupled with 5-10 years of experience in technical product management, system engineering, or solution architecture.
• Cloud Architecture: Deep understanding of high-scale communication protocols, including MQTT, WebSockets, and RESTful API design.
• Systems Engineering Proficiency: Familiarity with systems engineering and requirement management processes and methodologies.
• Leadership Skills: Ability to lead cross-functional teams, influence stakeholders, and engage effectively with senior leadership.
• Communication Prowess: Excellent communication and interpersonal skills, enabling you to interact confidently with customers, colleagues, and partners.
• Customer Focus: Proven experience in customer-facing roles, with a focus on understanding customer needs and expectations.
• Drive and Initiative: Accountability, independence, and a highly motivated approach to work, capable of delivering results even under pressure.
• Flexibility: Willingness to travel as needed to support customer engagements.
• Automotive & Embedded Context: Experience in the automotive industry or experience bridging embedded systems/Linux environments with cloud backends - Advantage.

What will your job look like?

• Customer Champion: Directly engage with customers to understand their needs, analyze requirements, and tailor our solutions to meet their specific demands.
• Visionary Architect: Define the system architecture and derive comprehensive system and software requirements that align with Mobileye's hardware and software capabilities.
• Strategic Planner: Develop consolidated timelines for multiple projects and prioritize product features.
• Collaborative Leader: Work closely with software architects,  developers and project managers to drive the product success.
• Quality Advocate: Adhere to ASPICE standards for system requirements, architecture, and software requirements, ensuring the highest quality and reliability.

All you need is:

• Technical Expertise: Bachelor's degree in Computer Science or a related field, coupled with 5-10 years of experience in technical product management, system engineering, or solution architecture.
• Cloud Architecture: Deep understanding of high-scale communication protocols, including MQTT, WebSockets, and RESTful API design.
• Systems Engineering Proficiency: Familiarity with systems engineering and requirement management processes and methodologies.
• Leadership Skills: Ability to lead cross-functional teams, influence stakeholders, and engage effectively with senior leadership.
• Communication Prowess: Excellent communication and interpersonal skills, enabling you to interact confidently with customers, colleagues, and partners.
• Customer Focus: Proven experience in customer-facing roles, with a focus on understanding customer needs and expectations.
• Drive and Initiative: Accountability, independence, and a highly motivated approach to work, capable of delivering results even under pressure.
• Flexibility: Willingness to travel as needed to support customer engagements.
• Automotive & Embedded Context: Experience in the automotive industry or experience bridging embedded systems/Linux environments with cloud backends - Advantage

What will your job look like?

• Visionary Architect: Define the system architecture and derive comprehensive system and embedded software requirements that align with Mobileye's hardware and software capabilities.
• Customer Champion: Directly engage with customers to understand their needs, analyze requirements, and tailor our solutions to meet their specific demands.
• Strategic Planner: Develop consolidated timelines for multiple projects and prioritize product features.
• Collaborative Leader: Work closely with software architects,  developers and project managers to drive the product success.
• Quality Advocate: Adhere to ASPICE standards for system requirements, architecture, and software requirements, ensuring the highest quality and reliability.

All you need is:

• Technical Expertise: Bachelor's degree in Computer Science or a related field, coupled with 5-10 years of experience in technical product management, system engineering, or solution architecture.
• Systems Engineering Proficiency: Familiarity with systems engineering and requirement management processes and methodologies.
• Familiarity with Automotive ecosystem: Sensors (Radars, Lidars, Cameras), time-syncing, calibrations and integrations, Vehicles ECU's.
• Embedded Context: Experience with complex embedded systems/Linux environments.
• Leadership Skills: Ability to lead cross-functional teams, influence stakeholders, and engage effectively with senior leadership.
• Communication Prowess: Excellent communication and interpersonal skills, enabling you to interact confidently with customers, colleagues, and partners.
• Customer Focus: Proven experience in customer-facing roles, with a focus on understanding customer needs and expectations.
• Drive and Initiative: Accountability, independence, and a highly motivated approach to work, capable of delivering results even under pressure.

What will your job look like?

• Visionary Architect: Define the system architecture and derive comprehensive system and embedded software requirements that align with Mobileye's hardware and software capabilities.
• Customer Champion: Directly engage with customers to understand their needs, analyze requirements, and tailor our solutions to meet their specific demands.
• Strategic Planner: Develop consolidated timelines for multiple projects and prioritize product features.
• Collaborative Leader: Work closely with software architects,  developers and project managers to drive the product success.
• Quality Advocate: Adhere to ASPICE standards for system requirements, architecture, and software requirements, ensuring the highest quality and reliability.

All you need is:

• Technical Expertise: Bachelor's degree in Computer Science or a related field, coupled with 5-10 years of experience in technical product management, system engineering, or solution architecture.
• Systems Engineering Proficiency: Familiarity with systems engineering and requirement management processes and methodologies.
• Familiarity with Automotive ecosystem: Sensors (Radars, Lidars, Cameras), time-syncing, calibrations and integrations, Vehicles ECU's.
• Embedded Context: Experience with complex embedded systems/Linux environments.
• Leadership Skills: Ability to lead cross-functional teams, influence stakeholders, and engage effectively with senior leadership.
• Communication Prowess: Excellent communication and interpersonal skills, enabling you to interact confidently with customers, colleagues, and partners.
• Customer Focus: Proven experience in customer-facing roles, with a focus on understanding customer needs and expectations.
• Drive and Initiative: Accountability, independence, and a highly motivated approach to work, capable of delivering results even under pressure.

What will your job look like?

• Develop a deep understanding of the system architecture and its implementation across all platform features and domains.
• Define, own, and drive feature-level and platform-level validation strategies, leveraging positive, negative, boundary, fault-injection, robustness, integration, and architectural validation methodologies to ensure comprehensive system verification and risk mitigation.
• Derive and define platform-level validation requirements, methodologies, coverage models, validation criteria, and acceptance criteria that complement and extend existing system requirements.
• Identify validation gaps, testability challenges, architectural weaknesses, and technical risks early in the development lifecycle.
• Review platform architecture and design decisions, providing validation-driven feedback to improve quality, reliability, robustness, and testability.
• Influence architectural decisions through validation findings, root-cause investigations, technical analysis, and data-driven recommendations.
• Lead root-cause analysis of complex system-level issues and drive resolution across multidisciplinary engineering teams.
• Serve as the technical focal point for validation-related architectural discussions, methodologies, and best practices.
• Collaborate closely with system architects, developers, and validation engineers to ensure validation considerations are integrated throughout the product development lifecycle.
• Drive continuous improvement of validation methodologies, tools, processes, and coverage across the platform.

All you need is:

• 7+ years of experience as a System Architect, Systems Engineer, or similar technical leadership role in a multidisciplinary environment. 
• At least 5 years of hands-on experience leading system-level validation activities, defining validation methodologies, validation strategies, coverage models, and verification approaches for complex products.
• Proven experience in investigating complex system-level issues, performing root cause analysis, and driving resolution across multiple engineering domains.
• Experience working closely with system architects and influencing design decisions through validation insights and technical recommendations.
• Strong systems thinking with the ability to understand complex interactions and the propagation of effects across an entire system.
• Proven ability to analyze complex architectures and identify risks, gaps, weaknesses, and opportunities for improved validation coverage.
• B.Sc. in Electrical Engineering, Systems Engineering, Computer Engineering, or a related technical field.

What will your job look like?

• Develop a deep understanding of the system architecture and its implementation across all platform features and domains.
• Define, own, and drive feature-level and platform-level validation strategies, leveraging positive, negative, boundary, fault-injection, robustness, integration, and architectural validation methodologies to ensure comprehensive system verification and risk mitigation.
• Derive and define platform-level validation requirements, methodologies, coverage models, validation criteria, and acceptance criteria that complement and extend existing system requirements.
• Identify validation gaps, testability challenges, architectural weaknesses, and technical risks early in the development lifecycle.
• Review platform architecture and design decisions, providing validation-driven feedback to improve quality, reliability, robustness, and testability.
• Influence architectural decisions through validation findings, root-cause investigations, technical analysis, and data-driven recommendations.
• Lead root-cause analysis of complex system-level issues and drive resolution across multidisciplinary engineering teams.
• Serve as the technical focal point for validation-related architectural discussions, methodologies, and best practices.
• Collaborate closely with system architects, developers, and validation engineers to ensure validation considerations are integrated throughout the product development lifecycle.
• Drive continuous improvement of validation methodologies, tools, processes, and coverage across the platform.

All you need is:

• 5+ years of experience as a System Architect, Systems Engineer, or similar technical leadership role in a multidisciplinary environment. 
• At least 5 years of hands-on experience leading system-level validation activities, defining validation methodologies, validation strategies, coverage models, and verification approaches for complex products.
• Proven experience in investigating complex system-level issues, performing root cause analysis, and driving resolution across multiple engineering domains.
• Experience working closely with system architects and influencing design decisions through validation insights and technical recommendations.
• Automotive industry experience is highly preferred.
• Strong systems thinking with the ability to understand complex interactions and the propagation of effects across an entire system.
• Proven ability to analyze complex architectures and identify risks, gaps, weaknesses, and opportunities for improved validation coverage.
• Excellent problem-solving and analytical skills.
• Deep technical curiosity, ownership, and attention to detail.
• Strong communication skills with the ability to explain complex technical concepts and mentor engineers across disciplines.
• Fast learner with the ability to quickly acquire knowledge in new technical domains.
• B.Sc. in Electrical Engineering, Systems Engineering, Computer Engineering, or a related technical field.

What will your job look like:

• Be the technical lead of the team that is responsible for the development of test content (mostly in Python) for the autonomous vehicle system and E2E flows.
• Review and approve system architecture requirements.
• Design and implement complex test solutions.
• Enforce compliance with autonomous vehicle industry standards.

All you need is:

• BSc in computer science or computer engineering.
• 7+ years of experience in development or SW validation.
• Experience in python - must.
• Experience with Linux user space and bash scripts.
• Strong capabilities in triage and debug of SW system issues.
• Knowledge and experience in CI/CD (Jenkins).
• Familiarity with Git.
• Familiarity with Networking.

What will your job look like:

• Own the end-to-end validation process for autonomous sensing systems (Radar, LiDAR, and sensor fusion), from definition to execution.
• Build the validation infrastructure, methodologies, and workflows required to ensure system robustness and safety.
• Define validation strategy: test coverage, success metrics, and failsafe verification approaches.
• Translate product and system requirements into structured validation plans and measurable outcomes.
• Work in close collaboration with R&D, algorithms, system engineering, and product teams.
• Identify gaps in testability, observability, and lead solutions to address them.
• Establish scalable processes for validation, monitoring, and continuous improvement.
• Present insights, risks, and recommendations to stakeholders to drive decision-making.

All you need is:

• Proven experience owning complex technical processes or systems end-to-end.
• Strong background in validation, system engineering, or complex product development.
• Ability to operate independently in ambiguous environments and define structure where none exists.
• Excellent analytical skills and deep understanding of system behavior.
• B.Sc. in Computer Science, Electrical Engineering, Biology or related field.
• Fluent in English and Hebrew.

Nice to have:

• Background in autonomous systems, sensing technologies, or similar complex domains.
• Hands-on technical experience (software, algorithms, or systems).

What will your job look like:

• Execution in the Geometry department. Turn ambitious plans into high-quality products that actually ship.
• Make things happen. Remove roadblocks, unblock teams, and keep everyone moving toward the finish line.
• Turn strategy into reality. Partner with Geometry leadership to transform priorities into action—and ideas into products used by real customers.
• See problems before they happen. Identify risks early, make the hard calls, and keep deliveries on track.
• Be the force that connects the dots. Align algorithm, product, data, and engineering teams—without adding friction or slowing anyone down.
• Get into the details. Join technical discussions, challenge assumptions, and help teams find solutions that actually work.
• Build the engine behind execution. Create scalable mechanisms that make the department faster, sharper, and better over time.
• Create visibility, not surprises. Keep leadership and teams aligned on progress, priorities, risks, and decisions.
• Be the person everyone calls when things need to move. The one who takes ownership, breaks through obstacles, and gets things done.

All you need is:

• Technical mindset with a B.Sc. in a scientific or engineering field.
• 3+ years of driving complex technical products or projects from concept to delivery.
• A data-driven decision maker who turns ambiguity into action.
• A proven executor — someone who takes ownership, solves hard problems, and gets things done.
• Ability to build roadmaps, scale processes, and make organizations run better.
• Independent, proactive, and hands-on. You don't wait for problems to solve themselves.

What will your job look like?

• Serve as the Cyber Security focal point for ADAS Production Programs.
• Support Project Managers in planning, tracking, and executing Cyber Security activities.
• Coordinate cross-functional activities involving Product, Development, Compliance, and Security teams
• Ensure alignment between customer requirements, project plans, and internal execution processes.
• Drive execution consistency and standardization across production programs.
• Continuously improve Cyber Security execution processes

All you need is:

• BA in Engineering, Computer Science, Information Security, or a related technical field.
• 3-4 years of experience in Project Management, Program Management, Systems Engineering, Cyber Security, Functional Safety or Automotive Development.
• Strong cross-functional leadership and stakeholder management skills.
• Excellent communication and presentation capabilities.
• Ability to manage multiple projects simultaneously in a fast-paced environment.

Nice to have:

• Experience in Automotive Cyber Security and/or Functional Safety.
• Familiarity with ISO/SAE 21434 and automotive development processes.

What will your job look like:

• Plan and manage execution across teams.
• Manage timelines, validation, data readiness, integrations, and infrastructure work.
• Define KPIs and support roadmap planning.
• Help identify and resolve technical blockers.

All you need is:

• 3–5 Years in project/product management (development experience - advantage).
• Experience with deep learning development processes.
• Degree in Computer Science, or related fields.
• Excellent communication, organization, and collaboration skills and problem-solving skills.
• Experience with data engineering, or software development- advantage.

What will your job look like:

• Responsibility for managing the executing Autonomous vehicle sensing projects, ensuring the company meets its commitments to our clients.
• Lead complex development projects from the requirements phase through to implementation.
• Closely track development progress and obtain approvals for technical requirements from R&D teams.
• Work horizontally across internal teams (R&D, AV, REM) to unify and create a coherent product.
• Create optimal connections between different interfaces that don't naturally communicate, to ensure projects move forward smoothly and efficiently.
• Joint work with lead car manufacturers, including joined workshops, test drives, and functional tuning.
• Managing debugging and validation of performance and functionality across the features within the autonomous vehicle sensing stack.

All you need is:

• Strong executor with vast leadership background and hard work ethic.
• B.Sc. in Computer Science or a related engineering field.
• At least 3 years of experience in closely managing and leading development teams in complex R&D projects/products.
• Proven experience in customer-facing positions.
• Excellent communication and management skills.
• Fluent in English and Hebrew.

Nice to have:

• M.Sc./MBA.
• Development background.

What will your job look like:

• Responsibility for managing the executing Autonomous vehicle sensing projects, ensuring the company meets its commitments to our clients.
• Lead complex development projects from the requirements phase through to implementation.
• Closely track development progress and obtain approvals for technical requirements from R&D teams.
• Work horizontally across internal teams (R&D, AV, REM) to unify and create a coherent product.
• Create optimal connections between different interfaces that don't naturally communicate, to ensure projects move forward smoothly and efficiently.
• Joint work with lead car manufacturers, including joined workshops, test drives, and functional tuning.
• Managing debugging and validation of performance and functionality across the features within the autonomous vehicle sensing stack.

All you need is:

• Strong executor with vast leadership background and hard work ethic.
• B.Sc. in Computer Science or a related engineering field.
• At least 3 years of experience in closely managing and leading development teams in complex R&D projects/products.
• Proven experience in customer-facing positions.
• Excellent communication and management skills.
• Fluent in English and Hebrew.

Nice to have:

• M.Sc./MBA.
• Development background.

What will your job look like?

• Lead the Product Lifecycle: Drive the ideation, definition, and launch of cloud services for various AV applications, spanning from routing optimization engines to supportive mechanisms like ODD and fleet management.

• Shape the Roadmap: Collaborate with internal stakeholders (Product, R&D, Validation, Business Development) and external partners (OEMs and transportation service providers) to define the product roadmap and KPIs based on given delivery constraints.

• Leverage Data: Define what to measure, how to measure it, and what solutions to prioritize, optimizing for performance, scale, and time-to-market.

• Support Business Development: Support pre-sale processes and customer onboarding through demos, presentations, specs, and marketing material creation.

• Ensure Alignment & Clarity: Champion cross-functional collaboration in a matrix environment to ensure successful execution by articulating clear product requirements and specifications.

All you need is:

• B.Sc. in Computer Science, Engineering, or a related technical field (M.Sc./MBA is a plus).

• Minimum of 5 years of experience in Product Management, specifically managing technically complex products (scaled cloud services in the form of B2B / B2B2C products).

• Hands-on software development background (backend or cloud applications as a preference).

• Strong problem-solving, organizational, and analytical capabilities.

• Outstanding communication skills with the ability to influence and align diverse internal and external stakeholders.

• Proven customer-facing experience with the ability to build strong relationships.

• Fluent in English and Hebrew.

What will your job look like?

• Act as a technical product owner, for productizing and driving Mobileye's AV features to meet performance and quality goals.
• Collaborate with internal stakeholders (R&D , Product and Business Development) and external partners to define the product roadmap, ensuring alignment with Mobileye's strategy and timelines.
• Own the process of requirements elicitation to capture stakeholder needs and translate them into actionable product specifications.
• Define and monitor data-driven performance KPIs to ensure product excellence.
• Develop and maintain accurate, comprehensive documentation for internal and external use.
• Support Business Development during pre-sale processes and customer onboarding.
• Partner with leading car manufacturers, including conducting workshops, test drives, and product tuning to ensure adoption and satisfaction.
• Champion cross-functional collaboration, managing initiatives in a matrix environment to ensure successful execution.

All you need is:

• B.Sc. in Computer Science, Electrical Engineering, or a related technical field (M.Sc./MBA is a plus).
• Minimum of 3 years managing technically complex products. (Computer vision or automative products is a plus)
• Hands-on software development background.
• Previous leadership experience in development management (advantage).
• Proven customer-facing experience with the ability to build strong relationships.
• Strong problem-solving, organizational, and analytical capabilities.
• Outstanding communication skills with the ability to influence and align diverse stakeholders.
• Fluent in English and Hebrew.
• Demonstrated ownership of product quality and excellence.
• A results-driven approach grounded in collaboration, integrity, and innovation.

What will your job look like?

• Lead and manage Mobileye's global AV Everywhere operations, ensuring successful execution across multiple international test sites and customer locations.
• Drive cross-functional projects by collaborating with R&D, Product, Business Development, Operations, Legal, PR, and other stakeholders to support autonomous vehicle deployment and scaling.
• Establish and optimize processes, procedures, and best practices to enable efficient day-to-day operations and consistent execution across global sites.
• Oversee the integration, validation, and deployment of autonomous vehicle technologies, working closely with engineering teams to introduce new capabilities and ensure operational readiness.
• Represent Mobileye externally, supporting customer engagements, vehicle demonstrations, regulatory interactions, and international expansion activity.

All you need is:

• Bachelor's degree in Engineering, Exact Sciences, or a related technical field.
• 3+ years of people management experience.
• Proven experience leading complex technical or R&D projects in a fast-paced environment.
• Strong technical aptitude with the ability to quickly learn and understand advanced technologies.
• Experience working with international customers, partners, regulators, or cross-cultural teams.
• Excellent communication and presentation skills in English.
• Strategic thinker with strong analytical and problem-solving abilities.
• Valid driver's license and willingness to travel internationally for extended periods.

What will your job look like?

• Lead external and internal technical discussions to determine and integrate delivered features.
• Manage execution of Mobileye commitments to automotive partners, including determining Platform SW (base SW) delivery content and timeline.
• Define product roadmap and release planning, track execution, and remove blockers.
• Collaborate with R&D, System teams, external suppliers and customers to ensure quality and timely delivery.
• Identify and close gaps in execution efforts across all projects.

All you need is:

• Bachelor's degree in engineering or computer science.
• 5+ years in a Product/Project Management role.
• Proven experience with Embedded systems
• Proven ability to build roadmaps and execute complex projects.
• Strong analytical skills and business thinking.
• Experience in system design, architecture, and software development for embedded systems.
• Experience in the Automotive industry is an advantage.
• Ability to lead cross-functional teams and engage with senior leadership.
• Excellent communication, interpersonal, and leadership skills
• Willingness to travel as needed.

What will your job look like?

• Act as a technical product manager, for productizing and driving Mobileye's AV features to meet performance and quality goals.
• Collaborate with internal stakeholders (R&D , Product and Business Development) and external partners to define the product roadmap, ensuring alignment with Mobileye's strategy and timelines.
• Own the process of requirements elicitation to capture stakeholder needs and translate them into actionable product specifications.
• Define and monitor data-driven performance KPIs to ensure product excellence.
• Develop and maintain accurate, comprehensive documentation for internal and external use.
• Support Business Development during pre-sale processes and customer onboarding.
• Partner with leading car manufacturers, including conducting workshops, test drives, and product tuning to ensure adoption and satisfaction.
• Champion cross-functional collaboration, managing initiatives in a matrix environment to ensure successful execution.

All you need is:

• B.Sc. in Computer Science, Electrical Engineering, or a related technical field (M.Sc./MBA is a plus).
• Minimum of 5 years managing technically complex products. (Computer vision or automotive products is a plus)
• Hands-on software development background.
• Previous leadership experience in development management (advantage).
• Proven customer-facing experience with the ability to build strong relationships.
• Strong problem-solving, organizational, and analytical capabilities.
• Outstanding communication skills with the ability to influence and align diverse stakeholders.
• Fluent in English and Hebrew.
• Demonstrated ownership of product quality and excellence.
• A results-driven approach grounded in collaboration, integrity, and innovation.

What will your job look like?

• You will oversee a large-scale, multidisciplinary product, managing a B2B product development aimed at millions of end-users.
• You will work closely with customers, engineers, and cross-functional teams, utilizing your soft skills to foster engagement.
• You will lead the product direction, drive the execution and will shape the product narrative from initiation to delivery.
• You will encounter complex situations and will need to apply your creativity to develop innovative, out-of-the-box solutions.

All you need is:

• Bachelor's degree in engineering or equivalent relevant experience
• At least 7 years experience in B2B product and program management roles.
• Demonstrated track record of successfully delivering complex, large-scale multidisciplinary (hardware/software) products
• Strong technical skills with the ability to drive resolution of complex issues
• Excellent presentation and leadership capabilities
• Proven ability to execute effectively in high-stakes environments
• Fluent in English, both written and spoken
• Experience in the automotive industry
• Background as a hardware or software engineer

What will your job look like?

• You will oversee a large-scale, multidisciplinary product, managing a B2B product development aimed at millions of end-users.
• You will work closely with customers, engineers, and cross-functional teams, utilizing your soft skills to foster engagement.
• You will lead the product direction, drive the execution and will shape the product narrative from initiation to delivery.
• You will encounter complex situations and will need to apply your creativity to develop innovative, out-of-the-box solutions.

All you need is:

• Bachelor's degree in engineering or equivalent relevant experience
• At least 7 years experience in B2B product and program management roles.
• Demonstrated track record of successfully delivering complex, large-scale multidisciplinary (hardware/software) products
• Strong technical skills with the ability to drive resolution of complex issues
• Excellent presentation and leadership capabilities
• Proven ability to execute effectively in high-stakes environments
• Fluent in English, both written and spoken
• Experience in the automotive industry
• Background as a hardware or software engineer

What your job will look like:

• Track and follow up on action items from leadership meetings and ensure timely delivery
• Understand and help scope tasks beyond administrative execution, identifying what's needed for successful outcomes
• Document meetings, synthesize key takeaways, and maintain clarity of priorities and next steps
• Prepare materials for executive presentations and internal communications
• Identify gaps, inefficiencies, and opportunities for improvement across the organization and proactively suggest or initiate solutions
• Maintain high discretion and confidentiality with sensitive information
• Act as a key support partner to the EVP, helping drive execution across mostly R&D domains
• Manage and maintain the EVP's presence across relevant internal and external platforms (e.g., social media, internal communications)

All you need is:

• Bachelor's degree – preference for a technical field
• 2-5 years of experience as a technical project manager in R&D field
• Strong organizational and time-management skills; detail-oriented and structured
• Ability to work independently and manage multiple priorities in a dynamic environment
• High emotional intelligence, maturity, and professional presence
• Strong problem-solving capabilities and business awareness
• Self-driven, proactive, and a fast learner
• Excellent communication skills in English – written and verbal

What will your job look like?

• Lead customer engagements with global automotive OEMs throughout the business development lifecycle, from roadmap alignment to successful design wins.
• Own the RFI/RFQ process and lead technical discussions, product reviews, and customer evaluations.
• Serve as a trusted technical advisor, helping customers understand, evaluate, and successfully adopt REM products.
• Partner with Product, R&D, Marketing, and Legal teams to shape solutions, influence product direction, and support commercial activities.
• Develop customer-facing technical content, presentations, and go-to-market materials.
• Lead customer workshops, executive meetings, and cross-functional initiatives in a dynamic matrix environment.
• Manage multiple parallel projects, timelines, milestones, and customer expectations from pre-sales through implementation.

All you need is:

• Bachelor's degree in engineering, Computer Science, or another relevant scientific/technical discipline.
• At least 3 years of experience in Technical Project Management, Technical Pre-Sales, Business Development, Product Management, or a similar customer-facing technical role.
• Strong technical aptitude with the ability to quickly understand complex technologies.
• Excellent communication, presentation, and stakeholder management skills, with the ability to explain complex technical concepts to diverse audiences.
• Strong business mindset with the ability to work comfortably across commercial, legal, marketing, and product-related topics.
• Proven ability to lead cross-functional activities in a matrix organization.
• Familiarity with AI tools and the ability to leverage them to improve productivity and day-to-day work.
• Fluent English and Hebrew.

What will your Job look like?

• Lead the end-to-end execution of project deliverables, including requirements definition, planning, execution, and delivery
• Drive and participate in technical discussions, proactively remove obstacles, and act as both the unifying force within the team and the leader setting direction
• Ensure timely and high-quality delivery of complex, multidisciplinary projects
• Coordinate work across a large cross-functional organization, covering diverse aspects of the system: from algorithm acceleration to sensor integration, from OS development to advanced in-vehicle visualization
• Represent the group in project-level forums, prepare status reports, and communicate effectively with senior management
• Collaborate closely with R&D groups, engaging in technical discussions within a highly multidisciplinary environment

All you need is:

• B.Sc. in Computer Science, Electrical Engineering, or a related Engineering/Scientific field- Must.

• B.Sc. in Aerospace Engineering – Advantage.

• 10+ years of experience in technical project/program management, system engineering, or agile team leadership, with a strong technical background.

• Solid experience in system design, architecture, and software development.
• Exceptional problem-solving, organizational, and analytical skills, with a proven ability to take initiative and build strong, productive relationships.
• Excellent leadership, communication, and stakeholder management skills.
• Fluency in Hebrew and English.

What will your job look like?

• Own the product strategy and roadmap, partnering with technical leadership to define scope, milestones, and success metrics, and keeping business priorities and engineering execution aligned.
• Act as the point of contact for both internal engineering teams and external OEMs — driving requirement definition, prioritization, and ongoing engagement, and owning the lifecycle of feature requests, issues, and escalations.
• Lead cross-functional execution across engineering, data, and infrastructure teams, proactively managing dependencies, risks, and delivery timelines while providing clear visibility into product status and outcomes.
• Get hands-on with the technology — digging into the products firsthand to see how they behave, test assumptions, and validate solutions before they ship.
• Drive our AI-native products — agentic assistants built on MCPs, skills, and retrieval — defining how they surface Mobileye's proprietary knowledge and automate self-service for engineers.
• Lead product releases end to end — planning launches, enabling users, driving adoption, and tracking usage and user engagement to inform the next iteration.
• Define product standards and documentation practices — design docs, user guides, and release materials — to ensure clarity, scalability, and operational excellence.

All you need is:

• At least 7 years of experience in a technical product management role, preferably in Cloud or related domains.
• Experience defining products, translating complex concepts into clear requirements, and working closely with engineering teams.
• Fluency with AI tools like Claude Code or Cursor, and comfort working hands-on in CLI and Ubuntu environments, with the ability to learn new tools fast.
• Strong technical depth — able to dig into problems alongside engineers and drive issues to resolution.
• Excellent communication and storytelling skills — able to turn complex, technical work into a clear narrative that aligns and influences diverse stakeholders.
• Strong problem-solving, organizational, and analytical capabilities.
• B.Sc. in Computer Science, Electrical Engineering, or a related technical field (M.Sc./MBA is a plus).
• Hands-on software development background — an advantage.

What will your job look like:

• Own and drive the product strategy and long-term roadmap for one of Mobileye's flagship products.
• Define product vision, capabilities, use cases, operational concepts, and success metrics.
• Create Product Requirement Documents (PRDs) that translate product strategy into clear requirements for R&D teams.
• Develop a deep understanding of customers, market trends, and competitive landscape to identify product opportunities.
• Drive product decisions and tradeoffs by balancing customer value, business objectives, and technical feasibility.
• Partner with multidisciplinary R&D teams to define and evolve products.

What we're looking for:

• B.Sc. in Computer Science, Electrical Engineering, Physics, or a related engineering discipline.
• 5+ years of experience in Product Management, Systems Engineering, or a similar role involving complex technology products.
• Strong technical foundation in software, hardware, AI, embedded systems, algorithms, sensors, or other deep-tech domains.
• Experience defining products, translating complex concepts into clear requirements, and working with engineering teams.
• Ability to quickly understand complex technologies and identify product opportunities.
• Strong analytical, communication, and stakeholder management skills, with the ability to influence cross-functional teams.
• Experience in automotive, semiconductor, robotics, aerospace, defense, or other deep-tech industries is an advantage.
• Hands-on experience using AI/GenAI tools to drive product definition and product management activities.

What will your job look like?

• Own end-to-end radar integration and bring-up, from sensor and ECU interfaces to vehicle networks and the perception data path.
• Reproduce and root-cause complex integration issues using logs, packet captures, bench or vehicle testing, and SIL/HIL/embedded comparisons.
• Work directly with customers and Mobileye’s software, hardware, algorithms, system, and validation teams throughout integration, validation, release, and deployment.
• Develop analysis and automation tools for network traffic, logs, and sensor data.
• Create clear interface guides, application notes, troubleshooting procedures, and technical documentation.
• Represent customer needs, technical risks, and priorities to product and R&D teams.

All you need is:

• BSc in Electrical Engineering, Computer Engineering, Computer Science, or a similar field.
• 3+ years of hands-on embedded-system integration or debugging experience.
• Strong system-level understanding of embedded software and hardware, including lab or vehicle bring-up.
• Strong knowledge of automotive networking, including Ethernet and CAN/CAN-FD; familiarity with UDP/TCP, SOME/IP, time synchronization, and packet analysis.
• Experience with automotive sensor integration and fusion concepts, including timing, calibration, coordinate frames, data integrity, and perception interfaces.
• Programming experience in Python and/or C/C++; MATLAB is an advantage.
• Strong communication, English, collaboration, and ownership.
• Automotive radar or RF experience is an advantage.
• Experience in client-facing roles - Advantage
• Hands-on experience using AI-assisted engineering tools - such as Cursor, Claude, Codex, or equivalent.

What will your job look like:

• Act as a project manager, leading ongoing activities and manage the ongoing activities onsite 
• Communicate with the automotive client on exact technical needs, including organizing workshops test drives, and functional tuning.
• Anticipate and remove obstacles that slow or prevent teams from delivering objectives.
• Work alongside the development teams of a leading international automotive company.
• Hold a key role in Mobileye's development projects providing the customer with direct technical support.
• Test performance and quality of the vision system.
• Support system integration efforts with deep "bits and bytes" understanding of the entire system.
• Provide expert support and training for the customer engineering teams on site.
• The position includes office work, support at vehicle production lines and integration facilities.
• The position requires a training period of 3-6 months in Mobileye Jerusalem

All you need is:

• Willingness to relocate abroad for a significant period (minimum of 2 years).
• Degree in a scientific field or engineering.
• At least 3 years of experience in technical positions.
• Background in hardware or software development.
• Background in system testing and integration.
• Project Management skills, with customer-facing experience.
• Independent and self-management skills.
• Fluent in English.
• Foreign Citizenship - an advantage. 

What will your job look like:

• Installing various Mobileye systems on evaluation and development vehicles.
• Performing and supervising test drives on an open road and test tracks.
• Testing performance and quality of the vision system.
• Supporting system integration efforts with deep "bits and bytes" understanding of the entire system.
• Providing expert support and training for the engineering teams on site.
• The position includes office work, support at vehicle production lines and integration facilities.
• Tasks also include long test drives travel in india and additional countries.
• Crisis management.
• Ability to understand the entire Mobileye system and solve the customer problems.
• Working with high ranked managers from both T1 and OEM sides.
• The position requires a training period of 2-3 months in Mobileye Jerusalem

All you need is:

• Willingness to relocate abroad for a significant period (minimum 2 years).
• Willing to travel as needed.
• B.Sc. in Electrical engineering /exact science or similar field.
• 4 years experience of application engineering
• Great interpersonal skills, customer facing.
• Background in hardware or software testing - an advantage.
• Background in working with customers on site, India customers - an advantage. 
• Willingness to work in a dynamic environment.
• Independent, self-disciplined, and self-contained.
• Highly motivated and self-management skills.
• Valid driving license.
• Fluent in English and Hebrew.

What will your job look like:

• Develop and maintain Automated Test Equipment (ATE) systems and debug tools to ensure robust and reliable testing of radar products.
• Support high-volume Mass Production manufacturing environments by ensuring stable test operations and minimizing production downtime.
• Provide ongoing support to production and test lines by addressing urgent ATE and DUT-level issues.
• Develop, execute, analyze, and debug radar test sequences, automation tools, and test infrastructures using Python and MATLAB, supporting engineering investigations, production KPIs, and continuous test improvements.
• Work hands-on with hardware, drivers, test equipment, and measurement instruments to support validation, production testing, and troubleshooting activities.
• Collaborate closely with Software, Algorithms, RF, Hardware, Production, and System Integration teams to resolve technical issues efficiently.
• Apply a strong system-level perspective to analyze and troubleshoot complex issues across software, hardware, RF, and manufacturing domains.
• Perform root cause analysis, calibration, characterization, and debugging activities.
• Track and manage test issues and results using JIRA and internal logging systems.
• Escalate recurring, critical, or systemic failures and drive corrective actions and continuous improvement initiatives.
• Monitor production performance and provide technical support to global manufacturing sites, including yield monitoring, unit status tracking, and KPI analysis.
• Coordinate with Production, System Integration, and Software Engineering teams to ensure release readiness and smooth production ramp-up.

All you need is:

• Bachelor’s degree in Electrical Engineering, Computer Science, or a related technical field.
• 6+ years of experience in Production Testing, Manufacturing Test Engineering, or ATE development.
• Proven experience developing, maintaining, and supporting Automated Test Equipment (ATE) systems in high-volume manufacturing environments.
• Strong hands-on Python development skills, including object-oriented programming (OOP), scripting, debugging, data analysis, and development of test automation tools and infrastructures.
• Experience working with Git and version control systems in a collaborative development environment.
• Hands-on experience managing Merge Requests / Pull Requests, conducting code reviews, and supporting code integration processes.
• Hands-on experience working in Linux-based development and test environments.
• Experience using MATLAB.
• Hands-on experience working with drivers, test equipment (ATE/lab instruments), and hardware validation.
• Experience with JIRA and test result database systems.
• Strong troubleshooting and root cause analysis skills, including ATE debugging, hardware bring-up, calibration workflows, and system-level problem solving.
• Experience working in multidisciplinary environments alongside Software, Hardware, RF, Algorithm, and Production teams.
• Ability to work independently in a fast-paced environment while managing multiple priorities.
• Willingness and availability for international travel.

Who you are?

• A test engineer with strong mechatronics intuition - you understand what you are measuring
• Structured and data-driven, but pragmatic about what a prototype actually needs
• Comfortable being the gatekeeper

Responsibilities:

• Build and operate the joint test infrastructure: dyno setups for torque, speed, efficiency, thermal, and life testing of actuator modules
• Define and execute component-level verification for boards, batteries, harnesses, and sensors with the responsible engineers
• Own integration verification at every stage: leg on bench, robot on gantry, free-standing, walking
• Define and run full-system performance benchmarking (payload, speed, endurance, repeatability) and reliability assessment
• Build the acceptance criteria and shipment-readiness process for every robot and subsystem delivered to headquarters
• Develop test automation (Python) and maintain traceable test records tied to hardware and firmware revisions
• Feed structured failure analysis back into design - you close the iteration loop

Requirements:

• B.Sc. in Mechanical, Electrical, or Mechatronics Engineering
• 5+ years in testing and validation of electromechanical systems: robotics, automotive, or automation
• Hands-on experience building test rigs and instrumentation (torque sensors, current probes, thermal measurement, data acquisition)
• Strong data analysis skills; Python proficiency for test automation and reporting
• Experience in defining verification plans, acceptance criteria, and reliability/life test programs
• Fluent English for cross-site collaboration with headquarters

Advantages:

• Experience at humanoid/robot companies, cobot firms, or automotive
• Actuator/servo dyno testing experience
• Familiarity with HIL testing and firmware validation
• Exposure to safety and compliance standards for robotics

What will your job look like:

• Testing and evaluating system performance across both hardware and software components, identifying issues, analyzing root causes, and verifying system functionality.
• Developing, executing, and improving validation tests and integration methodologies to ensure product quality, reliability, and compliance with system requirements.
• Performing manual validation alongside built-in automated test suites, analyzing test results, documenting findings, and supporting issue resolution.
• Installing, configuring, and validating Mobileye's debug systems and sensors on development vehicles, while providing technical support and troubleshooting assistance to internal teams and automotive customers.

All you need is:

• B.Sc. in Electrical Engineering, Mechanical Engineering, or an equivalent engineering discipline.
• At least 4 years of experience in validation, system integration, or testing of multidisciplinary system.
• Strong analytical, debugging, and problem-solving skills.
• Familiarity with embedded systems and hardware/software integration.
• Experience working in Linux environments – an advantage.
• Fluent in English & Hebrew.

What will your job look like:

• Perform system-level validation of embedded systems, covering both hardware and software, with a strong focus on functional testing
• Design and maintain test environments, including lab setups, test systems, and configurations.
• Write and execute test plans and test cases based on system requirements, including manual and automated tests.
• Validate communication protocols and system interfaces, and perform hardware bring-up and integration testing.
• Install and support debug systems and sensors on development vehicles and assist automotive customers during integration.

All you need is:

• B.Sc. in Electrical Engineering, Electronics Engineering, Communication Systems / Telecommunications Engineering, or equivalent.
• At least 3 years of experience in validation, verification, or QA engineering.
• Proven experience with embedded systems testing.
• Experience working with communication protocols and basic networking concepts (e.g., data flows, interfaces, protocol behavior).
• Hands-on experience with Linux-based systems.
• Experience in test infrastructure, lab environments, and test setups.
• Strong analytical, debugging, and problem-solving skills.
• Strong teamwork abilities and excellent interpersonal communication skills.
• Familiarity with defect tracking and validation tools (e.g., Jira) -an advantage.
• Fluent in English and Hebrew.

What will your job look like?

• Design, build, and maintain the underlying infrastructure for a modern cloud-based data platform.
• Implement and manage CI/CD processes for data pipelines and platform deployments across development and production environments.
• Design and manage secure, scalable AWS-based data infrastructure, including IAM roles, permissions, policies, networking, and environment isolation.
• Build and maintain orchestration, monitoring, alerting, and observability capabilities for data pipelines and platform services.
• Support deployment, reliability, and operational excellence of data workloads running on technologies such as Spark, DBT, Airflow, Athena, and AWS services.
• Collaborate closely with Data Engineers, Analysts, BI teams, and IT/Cyber teams to ensure secure and scalable data operations.
• Monitor, troubleshoot, and optimize platform performance, availability, and cost efficiency.
• Establish best practices for infrastructure-as-code, deployment standards, security, and production readiness.
•  

• 5+ years of hands-on experience in Data Engineering, Platform Engineering, DevOps, or Cloud Infrastructure roles.
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• Strong hands-on experience with AWS, including services such as IAM, S3, Athena, CloudWatch, networking, permissions, and security policies.
• Experience managing development and production environments, deployment processes, and CI/CD pipelines.
• Experience supporting and operating data platforms and pipelines in production environments. 
• Strong understanding of data engineering concepts and modern data architectures (batch and real-time). 
• Experience working with Spark, Airflow, and cloud-based data processing frameworks.
• Strong Python and SQL skills.
• Experience with monitoring, logging, alerting, and operational troubleshooting of data systems.
• Experience with Infrastructure as Code tools (Terraform / CloudFormation) – Advantage
• Experience with Kubernetes, containerized environments – Advantage
• Experience with Kafka, Iceberg, Databricks, Snowflake – Advantage
• Strong ownership and execution mindset, with the ability to work in fast-paced and ambiguous environments.
• Fluent in English.

What will your job look like?

• Design, build, and maintain robust and scalable data pipelines (batch and real-time) end-to-end.
• Design and implement scalable, flexible data architectures to support evolving business needs.
• Build and manage data platforms, including data lakes and data warehouses.
• Integrate multiple data sources (structured and unstructured) into a unified data platform using batch (ETL) and real-time streaming solutions.
• Design and implement efficient data models, schemas, and database structures (SQL / NoSQL).
• Develop and implement data quality processes to ensure accuracy, consistency, and reliability.
• Monitor, optimize, and troubleshoot data infrastructure to meet performance and SLA requirements.
  
  

All you need is:

• 5+ years of hands-on experience as a Data Engineer, building data systems from scratch in dynamic environments.
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• Strong proficiency in Python and advanced SQL, with solid experience in data modeling.
• Proven experience designing and building scalable data pipelines (batch and real-time), including streaming technologies such as Kafka.
• Strong experience working with AWS, including services such as S3, Athena and DynamoDB.
• Experience working with big data processing frameworks such as Spark, and columnar data formats (e.g., Parquet).
• Hands-on experience with workflow orchestration tools such as Airflow.
• Strong ownership and execution mindset, with excellent problem-solving skills and high attention to detail, and the ability to collaborate effectively and deliver in ambiguous, fast-paced environments.
• Experience with data platform technologies such as Databricks, Snowflake – Advantage.
• Experience building data platforms using modern lakehouse technologies (e.g., Iceberg) – Advantage.
• Fluent in English.

What will your job look like:

• Own end-to-end recruitment for R&D positions.
• Partner with R&D hiring managers to accurately decompose job requirements, define candidate profiles and develop targeted talent sourcing strategies.
• Conduct full-cycle recruitment activities including talent sourcing, resume screening, candidate pre-screening, interview coordination, offer negotiation and onboarding follow-up.
• Continuously optimize recruitment workflows, balancing hiring pace and quality to ensure strong delivery efficiency and positive candidate/business experience.
• Participate in day-to-day HR operations, such as employee lifecycle management, HR data analytics, team events, culture and welfare administration. 

All you need is:

• Bachelor’s degree or above; 3-5 years of full-cycle technical recruitment experience with proven mature sourcing capabilities.
• Fluent English (spoken & written) as a working language.
• Meticulous, responsible, with a closed-loop mindset for problem solving.
• Candidates with pure agency or RPO background are welcome.
• Open to third-party staffing arrangement. (Following strict MNC compliance requirements,  formal third-party employment contracts will be issued with full social insurance and housing fund contributions provided).

What will your job look like:

• Manage and support Microsoft Active Directory in sync with Entra ID.
• Manage and support Office365 environment with focus on SharePoint online and Teams.
• Implement and monitor applications and users authentication (AD, Entra ID).
• Manage Users, Group and Computer objects and create Group Policy.
• Troubleshoot Windows Server Performance issues.
• Setup Entra ID single sign on (SSO), Enterprise applications and conditional access rules.
• Support and integrate applications running on Windows platform.
• Implement security fixes and enchantment across multiple environments.
• Provide second level support for operations issues in Microsoft environment.

All you need is:

• 5+ years operating and supporting Active Directory and Entra ID in a large enterprise IT environment.
• Proven experience supporting Office365.
• PowerShell Scripting experience specifically for Office365 management and operations - 
• Knowledge of TCP/IP, DNS, LAN and WAN to maintain server functionality.
• Operating system and application security orientation.
• MCSE or MCITP - advantage.
• Strong communication and documentation skills.

What will your job look like:

• Manage and support Microsoft Active Directory in sync with Entra ID
• Manage and support Office365 environment with focus on SharePoint online and Teams
• Implement and monitor applications and users authentication (AD, Entra ID)
• Manage Users, Group and Computer objects and create Group Policy
• Troubleshoot Windows Server Performance issues
• Setup Entra ID single sign on (SSO), Enterprise applications and conditional access rules
• Support and integrate applications running on Windows platform
• Implement security fixes and enchantment across multiple environments
• Provide second level support for operations issues in Microsoft environment

All you need is:

• 5+ years operating and supporting Active Directory and Entra ID in a large enterprise IT environment.
• Proven experience supporting Office365.
• PowerShell Scripting experience specifically for Office365 management and operations - 
• Knowledge of TCP/IP, DNS, LAN and WAN to maintain server functionality
• Operating system and application security orientation
• MCSE or MCITP - advantage
• Strong communication and documentation skills
• Team player

What will your job look like?