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What will your job look like?

• Manage and grow strategic automotive OEM accounts in India.
• Build strong relationships with customer procurement, engineering, and senior leadership teams.
• Lead long-cycle sales opportunities from RFI/RFQ through pricing, negotiation, and deal closure.
• Be the main commercial contact for customers and explain the business value of our ADAS solutions.
• Work with global teams to move deals forward, support customer programs, and maintain accurate sales forecasts.
• Travel within India, with occasional international travel and collaboration across time zones.

All you need is:

• 5+ years in account management or technical sales in automotive technology, semiconductors, or a related high-tech industry.
• BA in engineering, business, or a related field
• Experience using Salesforce or a similar CRM.
• Experience working with Indian automotive OEMs or Tier 1 suppliers and understanding their purchasing processes.
• A track record of managing long sales cycles, negotiating commercial terms, and building senior customer relationships.
• Experience with hardware and software programs, plus an understanding of automotive ADAS technologies.
• Strong commercial and analytical skills, including pricing and volume forecasting.
• Excellent English and the ability to take ownership and work independently with global teams.

Nice to have:

• An established network within Indian automotive OEMs and Tier 1 suppliers.
• Experience selling ADAS, semiconductor, embedded software, or automotive compute solutions.
• An MBA or familiarity with Jira.

What will your job look like?

• Nurture relationships with existing key clients while identifying and establishing connections with potential new partners. 
• Oversee the planning and execution of business development projects, ensuring alignment with organizational goals and objectives. 
• Facilitate regular face-to-face interactions with key clients, understanding their needs and providing solutions that align with Mobileye's capabilities. 
• Drive new business opportunities by leveraging industry knowledge, market trends, and Mobileye's cutting-edge technologies. 
• Coordinate evaluation activities and demonstrations for customers, including product walkthrough sessions.
• Facilitate RFI/RFQ discussions, including deep dive sessions on Mobileye technologies & products. 
• Conduct thorough market analysis to identify potential growth areas, assess competitive landscapes, and develop strategies to position Mobileye as a market leader. 
• Work closely with internal teams, including sales, marketing, and technical departments, to ensure a seamless and collaborative approach to business development efforts.
• Generate insightful reports on business development activities, regularly updating the leadership team on progress, challenges, and opportunities.

All you need is:

• Minimum 5 years of experience in a senior business development or sales role in the ADAS/AV sector.
• Strong business relations with key decision makers across major OEMs (mandatory).
• Bachelor's degree in Business or a related field. 
• Proven track record of successfully managing and expanding client relationships. 
• Ability to work independently and drive results in a dynamic and evolving environment. 
• Willingness to travel frequently to meet with clients and attend relevant industry events. 
• Exceptional communication and interpersonal skills.

What will your job look like?

• Own and drive Sales activities for strategic OEM accounts, leading commercial strategies end to end.
• Create long term relationships with strategic customers through proactive engagement, strong negotiation, and consistent value delivery.
• Manage the entire sales process from RFQ/RFI review to issuing competitive price indications and negotiating commercial terms.
• Lead the commercial aspects with strategic customers, including direct engagement with procurement and executive stakeholders.
• Be the single point of contact for customer commercial inquiries, ensuring a seamless communication flow and outstanding customer experience across complex internal and external stakeholder environments.
• Translate complex technical capabilities into clear business and commercial value propositions that resonate with clients.
• Work in a team supporting multiple OEMs and Tier 1s in driving success together while aligning closely with BD, product, finance, legal, and executive teams to move deals forward.
• Drive momentum and push deals forward despite internal and external friction, ensuring progress in complex and political sales environments.

All you need is:

• BA degree; an MBA is a plus.
• 5 years of experience in a similar high tech role, demonstrating your expertise in a fast paced environment with exposure to long sales cycles and complex deal structures.
• Strong background in technical sales, capable of navigating complex negotiations and sales processes with ease while positioning value rather than selling pure technical features.
• Strong analytical skills, with the ability to interpret volumes, pricing, and commercial data to support decision making.
• A natural ability to connect with clients and build long term, trust based relationships at senior levels.
• Experience in complex projects involving both HW and SW developments.
• Detail oriented and capable of keeping the big picture in mind to make strategic decisions.
• High level of proficiency in both verbal and written English to engage effectively with global stakeholders.
• Solid understanding of technical business principles, particularly in the automotive ADAS/AV market with the ability to maintain credibility in front of engineering teams without being a deep technical expert.
• Experience with tools like Jira and Salesforce to enhance productivity and track engagement efficiently.
• High level of professionalism, strong ownership mentality, and the ability to work cross functionally with a team while independently driving outcomes.

What will your job look like?

• Build and strengthen strategic relationships with senior decision-makers across major US OEMs and Tier-1s. 

• Leverage your industry network to identify, develop, and drive new business opportunities in the ADAS/AD market. 

• Represent Mobileye in strategic customer meetings, industry events, and other high-level engagements. 

• Lead customer-facing business activities, including RFI/RFQ discussions, product evaluations, and technology deep dives. 

• Work closely with Mobileye’s business, product, and technical teams to align customer needs and opportunities with our strategy and solutions. 

• Maintain a strong understanding of the US automotive market, customer needs, and competitive landscape. 

All you need is:

• 5+ years of business development or strategic customer-facing experience in the automotive, ADAS, autonomous driving, or related technology industry. 

• Established relationships with senior decision-makers at major US OEMs and/or Tier-1s – mandatory. 

• Bachelor's degree in business, engineering, or a related field. 

• Proven ability to leverage an industry network to build strategic relationships and create new business opportunities. 

• Strong understanding of the automotive industry, combined with the technical orientation needed to engage credibly with customers. 

• Excellent executive presence, communication, and relationship-building skills. 

• A proactive, ambitious, and results-oriented mindset, with the ability to drive initiatives independently while maintaining strong internal collaboration and alignment. 

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:

• 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.
• 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.

What will your job look like:

• Develop learning-based algorithms to reconstruct structured road vector data using mass crowdsourced vehicle perception records, REM and multi-modal sensor inputs.
• Model road geometry, semantic features, lane connections and global road topology through spatial reasoning and graph networks.
• Combine deep learning, graph modeling and computational geometry to tackle complex urban scene challenges.
• Build scalable automated pipelines for crowdsourced data aggregation, model validation, map optimization and incremental map updates.
• Continuously optimize model accuracy, robustness and generalization under occlusion, variable illumination and unmarked roads.
• 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.
• 3+ years’ algorithm development experience in computer vision, spatial modeling, trajectory mining or robotics.
• Solid programming and algorithm capabilities with Python  or  C/C++; proficient in at least one deep learning framework (PyTorch / TensorFlow preferred).
• Hands-on experience delivering production-level deep learning or visual perception systems.
• Able to independently research ambiguous technical bottlenecks and deliver practical engineering solutions.
• Fluent oral and written communication in both Mandarin and English, excellent team player.

Nice to have:

• Familiar with topological learning networks: MapTR, VAD, LaneGAP, TopoNet, as well as image stitching and vectorization algorithms.
• Experience with mass vehicle trajectory aggregation and crowdsourced perception data processing.
• Basic exposure to GIS, computational geometry, SLAM or ADAS lightweight vector map development.
• In-depth understanding of CNN, GNN, Transformer, object detection, semantic segmentation and generative AI.
• Proven track record of migrating academic research algorithms to mass-production pipelines.

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:

• Implement, deploy, and maintain algorithms in computational geometry and calibration domains.
• Develop, maintain, and improve software infrastructure and internal tools supporting algorithm development and validation.
• Develop high-quality code primarily in C++ and Python.
• Design and maintain real-time oriented code that meets stringent memory and runtime requirements.
• Utilize modern AI-assisted development tools and frameworks (such as Cursor, Claude, GitHub Copilot, and similar technologies) to improve development efficiency and code quality.
• Collaborate effectively with other teams at Mobileye.

All you need is:

• Studies towards a B.Sc./M.Sc. in Computer Science, preferably combined with a minor in Mathematics, Physics, Statistics, Biology, or a related scientific discipline.
• Availability for at least a 3 days a week.
• 2-3 semesters left until graduation.
• Hands-on programming experience in C++ and Python.
• Basic understanding of Machine Learning and Deep Learning concepts.
• Familiarity with Git and GitLab, backed by practical experience.
• Coursework, projects, or practical experience in Machine Learning and Deep Learning.
• Experience with AI-assisted development environments and coding assistants (e.g., Cursor, Claude, GitHub Copilot, or similar platforms).

What will your job look like

• Perform data annotation and quality checks for AV driving test data. 

• Analyze AV related issues, including root-cause investigation and issue classification. 

• Design, develop, and maintain scripts to support testing, data processing, and workflow automation. 

• Support issue resolution, including data collection, reproduction, and follow-up tracking. 

• Collaborate with stakeholders across R&D, QA, and other teams to drive issues to closure. 

All you need is

• Bachelor’s or Master’s degree in EE, CS, automotive, geoinformatics, or a related field. 

• 1–3 years of relevant experience in software development, testing, or validation engineering, preferably in automotive, ADAS, or other relevant domains. 

• Experience in data annotation, AV validation, or quality analysis is preferred. 

• Script development experience (e.g., Python) for testing, tooling. 

• Strong analytical and problem-solving skills, with attention to detail. 

• Good teamwork and communication skills. 

• Good English proficiency for written and spoken communication. 

What will your job look like:

• Developing and configuring AUTOSAR modules, below the RTE.
• Creating and implementing software components on top of the RTE.
• Create design documents, SW requirements, SW unit tests and test cases.
• Establish bi-directional traceability between SW requirements and SW design.
• Optimization of the design or code in regards to consumption of resources.
• Debugging on bench and in vehicle, using Lauterbach debuggers, DLT and XCP.
• Participate in design and code and requirements reviews.
• Perform AUTOSAR embedded software integration.
• Troubleshooting and root cause analysis of issues.
• Participation in internal, customer, supplier and OEM meetings.
• Knowledge transfer from and into the development teams.

All you need is:

• Bachelor’s Degree in Electrical Engineering or Software Engineering or equivalent technical field from an accredited institution, Masters is a strong advantage.
• 4 years of experience on Embedded Software in automotive electrical & electronics industry
• AUTOSAR expertise, Adaptive AUTOSAR is an advantage.
• Strong customer orientation, willingness to meet deadlines, and self-management skills.
• Deep passion for solving problems to resolution, including root cause analysis skills.
• Ability to work and collaborate in a dynamic and global team environment and adapt to changing priorities and customer needs.

Nice to have:

• Knowledge of scripting tools like Python, CAPL.
• Experience with software engineering tools (JIRA, GIT).
• Experience with UDS protocol / Bootloader / OEM Specific.
• Advanced experience with NXP processors and QNX OS.
• Advanced experience with AUTOSAR abstraction (Mcu, Wdg, Gpt, Dio, Port, Icu, …).
• Advanced experience with AUTOSAR BSW and RTE, architecture, specifications, and configuration tools (eg. ElektroBitTresOs, Vector DaVinci).
• Strong fundamentals programming in C, embedded system concepts, and software build process.
• Experience with software engineering process models (Automotive Spice (ISO 15504), Functional Safety (ISO 26262), Agile, MISRA C).
• Experience with Vector products (CANoe, CANape, vFlash, vT Family).
• Experience with debugging methods and tools (e.g., Lauterbach Trace32).

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 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. 
• 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 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. 

All you need is:

• B.Sc. in Computer Science, Software Engineering, or equivalent.
• 2+ 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.

Nice to have:

• Hands-on Python experience, including the PyData stack (NumPy, Pandas).
• Experience with performance optimization, memory efficiency, and real-time systems.
• Familiarity with CI/CD processes and automated testing.
• Experience working closely with algorithm, computer vision, deep learning, 3D perception, or data teams.
• Experience with workflow orchestration tools (Airflow, Argo).
• Experience in data engineering or backend systems with large‑scale data (production environments).

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. 
• 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 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. 

All you need is:

• B.Sc. in Computer Science, Software Engineering, or equivalent.
• 2+ 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.

Nice to have:

• Hands-on Python experience, including the PyData stack (NumPy, Pandas).
• Experience with performance optimization, memory efficiency, and real-time systems.
• Familiarity with CI/CD processes and automated testing.
• Experience working closely with algorithm, computer vision, deep learning, 3D perception, or data teams.
• Experience with workflow orchestration tools (Airflow, Argo).
• Experience in data engineering or backend systems with large‑scale data (production environments).

What will you do?

• You will lead and develop various development tools, technologies and SW infrastructures for Mobileye platform including simulators, data analysis, debugging tools and performance optimization tools.
• You will get a deep understanding of Mobileye's HW architecture as well as end-to-end use cases and CV\DL algorithms.
• You will work on different environments in the Mobileye's software stack including backend, middleware and frontend development.
• You will consistently work and interact with multiple departments in Mobileye.
• You will have a great chance to influence future generations of Mobileye hardware and software stacks.

Qualifications

• BSC/ MSc in Computer Science, Computer Engineering or related field.
• 3+ years of experience in C/C++ programming.
• Experience working in python- advantage .
• Experience developing in Linux operating system - must.

Nice to have:

• Knowledge of low-level programming languages and hardware programming aspects.
• Good understanding of computer architecture, and performance tuning/optimizations.

What will your job look like?

• Define bring-up prerequisites and phases with architecture and program managers.
• Support Bring up of optical path devices (Sensor, Serializer, Deserializer).
• Review and contribute to Hardware-Software Interface specifications (register maps, memory maps, interrupts, boot sequences)
• Support pre-nomination requirement definition, including customer-facing meetings when needed.
• Support architecture with optical path feature requirements and sensors bring up requirements.
• Support SW/HW integration test strategy including HIL setups and CI automated regression.
• Deep co-debugging using Saleae, logic analyzers, and oscilloscopes; root cause analysis across hardware errata, timing, and firmware issues.

All you need is:

• B.Sc./M.Sc. Computer Engineering/ Electrical Engineering or equivalent.
• 5+ years in embedded SW/HW integration, platform bring-up, or firmware engineering. Proven ability to debug issues that cross hardware, firmware, and camera software.
• Hands-on experience in C/C++, Python; Assembly for debug.
• Experience in SoC architecture, schematics, power/clock domains.
• Experience with ADAS/automotive embedded systems, MIPI, and SERDES technologies (e.g., GMSL, FPD-Link, A-PHY)-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?

• Serve as a Technical solution architect/product manager for ADAS and Autonomous Vehicle SW features and platforms.
• Work closely with the Autonomous vehicle Cybersecurity architects and ensure Cybersecurity is addressed through implementation, Validation to production.
• Be a key person in planning and execution of Cybersecurity activities.
• Work directly with Mobileye customers' Cybersecurity teams on their Cybersecurity requirements and deliverables.
• Generate and maintain accurate and up-to-date requirement documentation for both internal and external stakeholders..
• Lead and facilitate product and platforms cybersecurity related discussions with clients and technology managers.
• Actively help improving processes across different teams.

All you need is:

• B.Sc. in Computer Science or a related SW engineering field - Must (MBA - Advantage).
• At least 3 years in SW Architecture/Product Management role (build a roadmap and execute complex projects).
• At least 2 years' experience in Cybersecurity and some SW development experience.
• Ability to work in a multi-tasked and dynamic environment.
• Fluent English and Hebrew, good presentation skills.
• Excellent problem-solving, organizational and analytical skills (based on quantities and qualitative data), with proven ability to take initiative and build strong and productive relationships.
• Leadership skills along with being a team player.

Nice to have:

• Experience in Automotive Cybersecurity and Cybersecurity standards.
• Software development experience for embedded systems (e.g. Linux based systems, Real-Time software, Camera-based systems).

What will your job look like?

• Serve as a Technical solution architect/product manager for ADAS and Autonomous Vehicle SW features and platforms.
• Work closely with the Autonomous vehicle Cybersecurity architects and ensure Cybersecurity is addressed through implementation, Validation to production.
• Be a key person in planning and execution of Cybersecurity activities.
• Work directly with Mobileye customers' Cybersecurity teams on their Cybersecurity requirements and deliverables.
• Generate and maintain accurate and up-to-date requirement documentation for both internal and external stakeholders.
• Lead and facilitate product and platforms cybersecurity related discussions with clients and technology managers.
• Actively help improving processes across different teams.

All you need is:

• B.Sc. in Computer Science or a related SW engineering field - Must (MBA - Advantage).
• At least 3 years in SW Architecture/Product Management role (build a roadmap and execute complex projects).
• At least 2 years' experience in Cybersecurity and some SW development experience.
• Ability to work in a multi-tasked and dynamic environment.
• Fluent English and Hebrew, good presentation skills.
• Excellent problem-solving, organizational and analytical skills (based on quantities and qualitative data), with proven ability to take initiative and build strong and productive relationships.
• Leadership skills along with being a team player.

Nice to have:

• Experience in Automotive Cybersecurity and Cybersecurity standards.
• Software development experience for embedded systems (e.g. Linux based systems, Real-Time software, Camera-based systems).

What will your job look like:

• Improving quality, efficiency and scale adapation of validation processes for test and product maps built from visual data uploaded by millions of vechicles throughout the world.
• Participate in planning, design and implementation of new validation processes and methodology with technology iteration.
• Define and implement end-to-end validation tools with well designed metircs and insights to reflect map quality.
• Integration of existing data anlysis tools, data pipelines to make robust and scalable end-to-end work flow.
• Build and manage data platforms, including data lakes and data warehouses.
• Management and prioritization of daily tasks.

All you need is:

• BSC/MSc in computer science, mathematics, or other engineering subjects.
• Experience with Python (NumPy, SciPy, Matplotlib, Pandas) for data analysis purpose.
• 3+ years of experience in designing, implementing, and automating data analysis,  validation or software testing, with a focus on performance analysis for complex, data-intensive, or machine-learning algorithms.
• Strong analytical capabilities and experience in data processing..
• Ability to juggle multiple tasks and build systematic approach.
• 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.
• Fluent English.

Nice to have:

• Knowledge in descriptive statistics, probability, and statistical inference.
• Knowledge in designing and building scalable data pipelines (batch and real-time), including streaming technologies such as Kafka.
• Knowledge in cloud data environment, such as AWS, including services such as S3, Athena and DynamoDB.

What will your job look like:

• Analyze large-scale night-driving datasets to evaluate the performance of our lighting technology, own and evolve the KPI picture, false-positive and false-negative rates, mean time and distance between false events, over a labeled scene catalog spanning countries, road types and weather conditions.
• Investigate complex issues down to a specific frame, light source or classifier decision, identify root causes, and provide actionable insights to the algorithm and software teams.
• Develop AI-powered tools and automation solutions to improve analysis efficiency and shorten the path from a failed drive to an understood root cause.
• Support product and algorithmic decisions through data-driven analysis, including regression analysis between versions and validation of new developments before release.
• Define and refine the data we need: labeling requests, scenario coverage, and edge cases, and monitor the quality of what comes back.
• Collaborate with algorithm, software, research and product teams to validate new developments and verify regulatory scenarios.
• Present findings and recommendations through clear reports, dashboards and summaries.

All you need is:

• B.Sc. in Industrial Engineering, Data Science, mathematics, physics etc. 
• 2+ years of experience in data analysis, research, or a similar analytical role
• Strong technical ability, and scripting abilities
• Experience in using AI tools
• Fluent English.
• Hands-on experience with Python - an advantage.
• Familiarity with AI tools, machine learning concepts, or data-driven technologies - an advantage.
• Experience analyzing perception, computer vision, or sensor-based systems - an advantage.

What will your job look like?

• Own the full lifecycle of AV data, including data status assessment, maintenance and version iteration. You will manage PB-scale driving data assets that power Mobileye's autonomous driving system.
• Oversee end-to-end annotation workflow, covering requirement definition, guideline formulation and quality assurance. Collaborate with algorithm teams to define dataset specifications, with your work directly shaping dataset quality and accelerating model iteration.
• Analyze autonomous driving scenarios from a data perspective, investigate system failure cases and push issues to resolution.
• Propose and initiate new driving data collection campaigns to enrich datasets with rare corner cases, strengthening the core data assets for our global ADAS product portfolio.
• Develop and maintain automation scripts and data processing pipelines. Reduce manual repetitive work and scale up data throughput for mass-production validation.
• Collaborate with global cross-functional teams to align and unify data standards.

All you need is:

• Bachelor's or Master's degree in EE, CS, automotive engineering, geoinformatics, or a related field.
• 1–3 years of relevant experience in software development, testing, or validation engineering, preferably in automotive, ADAS, or adjacent domains.
• Script development experience (e.g., Python) for testing and tooling.
• Strong analytical and problem-solving skills, with attention to detail.
• Good teamwork and communication skills.
• Good English proficiency for written and spoken communication with global teams.

Nice to have:

• Experience in data management, AV validation, or quality analysis.
• Familiarity with driving data, sensor data, or annotation workflows.

What will your job look like:

• Conduct hands-on research and development of AI and Deep Learning algorithms for real-world automotive perception tasks.

• Own projects end-to-end — from concept, through research, prototyping, designing, training, and evaluating neural network architectures, to integration and scalable deployment. 

• Analyze challenging edge cases and continuously improve model performance in complex driving scenarios.

• Collaborate with algorithm developers, software engineers, product managers and system teams across the organization. 

• Work with large-scale datasets and real-world driving scenarios to improve model accuracy, robustness, and runtime efficiency. 

• Bring your ideas into production-ready systems that have a direct, measurable impact on autonomous vehicle technologies used worldwide. 

All you need is:

• B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance.

• 3+ years of hands-on experience developing deep learning solutions using Python and frameworks such as PyTorch. 

• Solid foundation in Algorithms, Machine Learning, and Deep Learning fundamentals (Computer Vision / Graph Neural Networks – advantage).

• Strong analytical skills, a sense of ownership, and the ability to work collaboratively.

Nice to have:

• Experience leveraging AI agents and modern productivity tools in development workflows.
• Experience with cloud environments and big data tools.

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.

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.

What will your job look like:

• You will join a team of talented and experienced EV/SI/PI engineers with wide scope of responsibility, from Pre-Si SI/PI simulations to Post-Si Electrical validation and debug, covering all the high-speed analog interfaces of Mobileye’s EyeQ products.
• Responsibilities include performing electrical spec compliance and system margin validation, interface optimization, statistical results analysis, validation flow definitions and automation, validation SW tools development, etc.
• You will also deal with FW development, automation enabling, data post-processing and debug of high-speed interfaces, like LPDDR4/5, PCIe Gen4/5, and D/C/MPHY.

All you need is:

• BSc or MSc in Electrical or Computer engineering.
• 3+ years of hands-on experience in validation or HW/SW debug or embedded SW development.
• Hands-on experience with test automation development or FW development or automated data analysis.
• Strong sense of ownership, commitment, and responsibility.
• Good interpersonal communication skills.

Nice to have:

• Experience with advanced lab equipment (Scope, BERT, etc.).
• Experience in Signal/Power Integrity design.
• Experience with analog circuits or PHY IP knowledge.

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. 

What will your job look like:

• Defining and designing OS solutions for the security and high-speed connectivity requirements.
• Conducting PoC activities to verify architectural decisions and resource allocation involving SW Simulators.
• Writing architectural design specification documents, defining KPIs and testing criteria.
• Working with the development teams closely to review design and test plan documents.
• Performing performance analysis to maximize performance and optimize HW utilization while maintaining the real time behavior.

All you need is:

• Strong knowledge in Operating Systems in general and experience with the Linux Kernel specifically.
• Proven experience in writing architectural specifications and conducting architectural reviews.
• Strong experience in performance analysis and debugging techniques.
• Experience with the MIPS & RISCV HW architecture and their implementation in the operating system.
• Previous experience in PCIe and Security is a big advantage.

What will your job look like:

• Defining and designing OS solutions for the security and high-speed connectivity requirements.
• Conducting PoC activities to verify architectural decisions and resource allocation involving SW Simulators.
• Writing architectural design specification documents, defining KPIs and testing criteria.
• Working with the development teams closely to review design and test plan documents.
• Performing performance analysis to maximize performance and optimize HW utilization while maintaining the real time behavior.

All you need is:

• Strong knowledge in Operating Systems in general and experience with the Linux Kernel specifically.
• Proven experience in writing architectural specifications and conducting architectural reviews.
• Strong experience in performance analysis and debugging techniques.
• Experience with the MIPS & RISCV HW architecture and their implementation in the operating system.
• Previous experience in PCIe and Security is a big advantage.

What will your job look like:

• Defining and designing OS solutions for the security and high-speed connectivity requirements.
• Conducting PoC activities to verify architectural decisions and resource allocation involving SW Simulators.
• Writing architectural design specification documents, defining KPIs and testing criteria.
• Working with the development teams closely to review design and test plan documents.
• Performing performance analysis to maximize performance and optimize HW utilization while maintaining the real time behavior.

All you need is:

• Strong knowledge in Operating Systems in general and experience with the Linux Kernel specifically.
• Proven experience in writing architectural specifications and conducting architectural reviews.
• Strong experience in performance analysis and debugging techniques.
• Experience with the MIPS & RISCV HW architecture and their implementation in the operating system.
• Previous experience in PCIe and Security is a big advantage.

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?

• Take part in the design, development, deployment, and maintenance of Mobileye's main cloud systems: Backend and python packages.
• Hyper-scale batch processing framework, spinning up hundreds of thousands of parallel computation CPU.
• Systems to ingest, store and manage data from cameras and other sensors, of exceptional volumes - 100 PB and more
• Collaborate with different groups in Mobileye, including Algorithms, Software and Validation.
• Deliver a high quality product, fully developed by our team Work with highly experienced developers, architects and AWS experts.
• Work tightly with AWS teams, bringing their services to the edge - S3, EC2, Spot, EBS, ECS, Batch, DynamoDB, CW.
• Build systems and tools using AWS Lambda, RDS, CloudFormation/Terraform and moreSee your product being used by hundreds of users, where every improvement, optimization and new feature can be critical to the development of autonomous vehicles and car safety systems.
• Demonstrate initiative, ownership, and a continuous improvement mindset in developing and evolving large-scale cloud systems.
• Work effectively across teams, balancing technical depth with strong communication skills and an understanding of the broader business and engineering impact.
• Apply AI-assisted development tools responsibly and effectively as part of modern software engineering practices.

All you need is:

• B.Sc. in Computer Science / Engineering
• At least 4-5 years of Python experience (experience with advanced Python packages)
• Experience with backend: databases/Elastic Search/Redis, etc
• Scale & Cloud: Strong hands-on experience developing and operating high-throughput, large-scale batch processing pipelines in AWS (e.g., AWS Batch, ECS/EKS, or Serverless).
• Linux & Systems Fundamentals: Solid low-level Linux/OS background, including familiarity with memory management, system calls, process execution, binary inspection (e.g., ldd, strace, readelf), and performance troubleshooting.
• Automation & Tooling: Proficient in system-level scripting and infrastructure automation, with a deep understanding of optimizing resource utilization (CPU, memory, storage) at scale.

Nice to have:

• Experience in high-scale systems.
• Experience with Docker, Kubernetes, AWS Cloud Services.
• Experience in Go.

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.
• 5+ 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:

• 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:

• 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:

• 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.
•  4+ 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:

• 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 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.
• 3+ experience in C/C++ and Python - Must.
• Fluent 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:

• 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:

• 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 your job will look like:

• Plan and build advanced, end-to-end validation processes for REM mapping and localization.
• Build validation tools that use geometric calculations, logic and heuristics.
• Add new features to the validation pipeline and make it more sensitive, faster and better.
• Use AI tools to improve the development process, for example automated code review, unit-test generation and automating repetitive tasks.
• Work with algorithms and tools from other R&D groups and build them into the validation infrastructure.
• Analyze large-scale data on the cloud and turn the results into clear conclusions.

All you need is:

• B.Sc. in Computer Science, Software Engineering or a related field.

• 3+ years of hands-on software development, with Python in production (Pandas, NumPy, SciPy, etc.).

• Good coding practice: Git, testing, CI/CD.

• Daily, hands-on use of AI coding assistants and agents (e.g., GitHub Copilot, Claude Code, Cursor).

• A critical eye for AI output: reviewing, testing and checking AI-generated code and results.

• Strong analytical skills, with broad vision and technical depth.

• Good communication and teamwork across groups.

• Fluent English.

Nice to have:

• Experience automating development and data workflows with LLM-based tools and agents.

• Knowledge of descriptive statistics, probability and statistical inference.

• Geometry or geospatial work (Shapely, GeoPandas, coordinate systems).

• Cloud and distributed processing (AWS S3/Athena, SQL, Spark/PySpark).

• Computer vision, ML or mapping/localization.

What will your job look like:

• Design and develop scalable systems and tools that support data operations, workflow management, and pipeline monitoring.
• Collaborate with analysts, product stakeholders, and engineers to define requirements and deliver end-to-end solutions.
• Transform manual processes and ad-hoc scripts into robust production-grade systems.
• Investigate and troubleshoot issues across data pipelines, infrastructure, and operational workflows.
• Take ownership of projects from system design through deployment and continuous improvement.
• Develop primarily in Python within modern production environments.

All you need is:

• B.Sc. in Computer Science, Software Engineering, or a related technical field.
• 3+ years of software engineering experience in production environments.
• Experience designing, building, or maintaining production systems with a broad system-level perspective.
• Proven experience working on complex systems involving data processing, workflows, backend services, or infrastructure components.
• Strong programming skills in Python.

Nice to have:

• Experience with Kubernetes, Docker, or similar containerized environments.
• Experience working with CI/CD processes and deployment pipelines.
• Exposure to algorithm development environments or machine learning workflows.

What will your job look like:

• Design and develop scalable systems and tools that support data operations, workflow management, and pipeline monitoring.
• Collaborate with analysts, product stakeholders, and engineers to define requirements and deliver end-to-end solutions.
• Transform manual processes and ad-hoc scripts into robust production-grade systems.
• Investigate and troubleshoot issues across data pipelines, infrastructure, and operational workflows.
• Take ownership of projects from system design through deployment and continuous improvement.
• Develop primarily in Python within modern production environments.

All you need is:

• B.Sc. in Computer Science, Software Engineering, or a related technical field.
• 3+ years of software engineering experience in production environments.
• Experience designing, building, or maintaining production systems with a broad system-level perspective.
• Proven experience working on complex systems involving data processing, workflows, backend services, or infrastructure components.
• Strong programming skills in Python.

Nice to have:

• Experience with Kubernetes, Docker, or similar containerized environments.
• Experience working with CI/CD processes and deployment pipelines.
• Exposure to algorithm development environments or machine learning workflows.

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
• Experience in python - must
• 3 years of experience in development or SW validation
• 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) - advantage

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.
• 4 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.

Nice to have:

• Skills in scripting Perl/Python.
• Knowledge in Industry Standard protocols such as AXI/OCP/APB.

What will your job look like?

• Lead and manage a team of Board Design and Layout engineers, providing technical direction, mentorship, and support.
• Lead hardware projects end-to-end, from architecture and design through validation and mass production.
• Provide technical leadership throughout the projects, guiding the team on key technical decisions and supporting them in addressing complex challenges.
• Collaborate with cross-functional internal teams to drive successful project execution.
• Build and maintain strong customer relationships, understand their technical needs, and serve as a key technical point of contact throughout the project.

All you need is:

• Bachelor’s or Master’s degree in Electrical Engineering or a related field.
• 8+ years of hands-on experience in hardware board design.
• 3+ years of experience in a managerial role.
• Strong foundation in digital circuits, power systems, and high-speed board design.
• Broad system-level understanding, including HW/SW interfacing, validation, verification, DFT, and qualification.
• Strong analytical skills with the ability to work independently and perform well under pressure.

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.
• 0-2 years of experience in the industry. 
• 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?

• Conduct mechanical tests including tensile, compression, drop, and impact testing.
• Perform environmental tests such as temperature, humidity, and thermal shock.
• Operate and maintain laboratory test equipment and monitoring systems.
• Prepare test setups, fixtures, and instrumentation according to test procedures.
• Record and analyze test data, generate test reports, and communicate results to engineers.
• Ensure tests comply with relevant standards (e.g., MIL-STD, IEC, ISO).
• Support failure analysis and root cause investigations.
• Maintain laboratory cleanliness, organization, and safety compliance.
• Assist in developing and improving test methods and documentation.

All you need is:

• B.Sc. or higher Engineering degree in Mechanical Engineering, Materials, Chemical or a related field.
• Minimum 5+ years of experience in mechanical or environmenta l testing or a similar role.  
• Hands-on experience operating environmental test equipment.  
• Experience with computerized test automation systems.  
• Ability to interpret engineering drawings and test specifications.
• Strong data analysis and technical reporting skills.
• Ability to work independently and manage tasks efficiently.
• Good written and verbal communication skills in English.

Nice to have:

• Background in the automotive industry.
• Experience with automotive environmental standards and qualification tests.

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:

• M.Sc. in a relevant field (Machine Learning / Computer Vision / Robotics / similar).
• B.Sc. from a leading university.
• Solid background in Machine Learning and Deep Learning.
• 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:

• 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:

• B.Sc. in Computer Science, Software Engineering, or a related field from a leading university with a proven record of excellence.
• M.Sc. with a research thesis is an advantage.
• Strong programming skills in Python and C++.
• Solid foundation in algorithms, data structures, mathematics, and computer vision or deep learning fundamentals.
• Strong analytical skills, a high level of ownership, and the ability to work effectively in a collaborative environment.

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 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?

• Develop multi-threaded, multi-core systems on an embedded Linux system.
• Develop and debug of CI test content for infrastructure modules.
• Performance optimizations and tuning.

All you need is:

• BSc in Computer Science, Software Engineering or Electrical Engineering.
• 5 years of experience in Real-Time Embedded SW Development.
• Fluent in C++ programming.
• Deep understanding of embedded systems.

Nice to have:

• Experience in HW/SW integration and debugging activities on real HW.
• hands-on embedded Linux experience.

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 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:

• Research and develop image and video generation models, with a focus on temporal consistency, multiview coherence, and controllable driving-scene generation.
• Explore and adapt state-of-the-art world models for autonomous driving, helping shape the team’s research and technical direction.
• Own the full development lifecycle, from research and experimentation to model training, evaluation, and integration into real-world workflows.
• Build scalable, clean Python and PyTorch implementations for training and evaluating generative models.
• Collaborate with AI researchers and perception teams to develop generative capabilities for training and evaluating autonomous driving systems.

All you need is:

• M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related field.
• 3+ years of industry experience in Deep Learning and Computer Vision, preferably working on generative AI or foundation models.
• A hands-on approach and the ability to turn research ideas into working solutions.
• Hands-on experience training image or video generation models, including diffusion and flow-based models.
• Experience with world models, multiview generation, 3D scene representations, or temporal modeling.
• Experience training or adapting foundation models, including Vision-Language Models (VLMs) and other multimodal models.
• Experience with distributed training and large-scale datasets.
• Publications in top-tier conferences such as CVPR, NeurIPS, ICCV, or ECCV.

What will your job look like:

• Work on the semantics of road objects, using harvested tabular data as the primary input to our algorithms — turning large-scale, real-world observations into models that capture object meaning, attributes, and behavior on the road network.
• Design, implement, and optimize machine learning and deep learning algorithms for these semantic tasks, from architecture and training objectives through evaluation and efficiency.
• Develop and improve end-to-end model training pipelines, from data preparation and sampling of harvested tabular datasets through training and evaluation.
• Investigate model behavior, identify failure modes, and drive targeted algorithmic improvements.
• Develop effective strategies for data selection, dataset composition, sampling, augmentation, loss design, and training schedules.
• Lead the investigation of complex algorithmic challenges, uncover patterns in data and model behavior, and translate insights into measurable improvements.

All you need is:

• 5+ years of experience in algorithm engineering using machine learning, deep learning, or neural networks.
• Strong hands-on experience designing, training, evaluating, and optimizing.
• Strong programming skills in Python.
• Hands on experience with Spark, Pandas, Pytorch and AWS.
• Experience with Polars and DuckDB- an advantage
• Experience with some of the following: sampling strategies, data augmentation, hyperparameter optimization
• Strong understanding of distributed systems, scalability, and performance optimization.

• Ability to independently investigate complex problems, identify patterns in data and model behavior, run experiments, and translate findings into measurable algorithmic improvements.

• Strong analytical and problem-solving skills, with a practical, hands-on, and ownership-driven mindset.

   

   

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).
• 4+ 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:

• 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 research team to implement highly complex DSP algorithms
• Plan memory arrangement, data transfer, pipeline of computation and multi-core utilization to maximize performance in low-resources compute-limited environment

All you need is:

• B.Sc/ M.Sc in Computer Engineering, Computer Science or Electrical Engineering.
• 5+ years of software development experience in C in multi-core\multi-thread environments.
• Experience in C++ - advantage 
• Deep understanding in low-level multi-core SW development.
   

Nice to have:

• Experience in C++.
• Experience working with Real-time Embedded environments.
• Experience with Automotive industry.
   

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. 
• Optimize runtime performance, memory usage, latency, and throughput for high-precision 3D perception workloads in resource-constrained environments. 
• 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. 
• Contribute to neural network deployment flows, such as 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. 
• Collaborate with multiple teams across Mobileye, gaining deep exposure to both system architecture and state-of-the-art 3D sensing and AI algorithms. 

All you need is:

• 4+ years of hands-on C++ development experience. 
• B.Sc. in Computer Science, Software Engineering, or equivalent.  
• Strong understanding of object-oriented design, software architecture, and large-scale system development. 
• Experience working in Linux environments. 
• 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:  

• 2+ years Hands-on Python development experience, including the PyData stack (NumPy, Pandas).
• Experience with performance optimization, memory efficiency, and real-time systems. 
• Familiarity with CI/CD processes and automated testing. 
• Experience with algorithm, computer vision, deep learning, 3D perception, or data teams. 
• Background in 3D computer vision, point clouds / depth, object detection, or embedded/edge AI deployment. 
• Experience with workflow orchestration tools (Airflow, Argo). 
• 2+ years in data engineering or backend systems with large‑scale data (production environments). 

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. 
• Optimize runtime performance, memory usage, latency, and throughput for high-precision 3D perception workloads in resource-constrained environments. 
• 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. 
• Contribute to neural network deployment flows, such as 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. 
• Collaborate with multiple teams across Mobileye, gaining deep exposure to both system architecture and state-of-the-art 3D sensing and AI algorithms. 

All you need is:

• 4+ years of hands-on C++ development experience. 
• B.Sc. in Computer Science, Software Engineering, or equivalent.  
• Strong understanding of object-oriented design, software architecture, and large-scale system development. 
• Experience working in Linux environments. 
• 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:  

• 2+ years Hands-on Python development experience, including the PyData stack (NumPy, Pandas).
• Experience with performance optimization, memory efficiency, and real-time systems. 
• Familiarity with CI/CD processes and automated testing. 
• Experience with algorithm, computer vision, deep learning, 3D perception, or data teams. 
• Background in 3D computer vision, point clouds / depth, object detection, or embedded/edge AI deployment. 
• Experience with workflow orchestration tools (Airflow, Argo). 
• 2+ years in data engineering or backend systems with large‑scale data (production environments). 

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.

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 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.
• 5+ years experience in Neural Networks/Deep Learning.
• Hands-on experience with PyTorch and deep learning frameworks.
• Strong Python programming skills and experience developing production-grade software.
• Knowledge of C/C++ and experience with containerized environments – an advantage.
• Experience in CI/CD pipelines and containerized environments.

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.

Nice to have:

• Experience with RF systems.
• Experience with Python scripts.

What will your job look like:

• Own system architecture for complex embedded platforms and major platform capabilities.
• Translate product and customer needs into system concepts, architectures, interfaces and clear requirements.
• Define functional decomposition, hardware and software partitioning, responsibilities, data flows and control flows.
• Drive architectural decisions across compute, memory, storage, networking, power, boot, diagnostics, software update, security and monitoring.
• Lead technical alignment across system, hardware, embedded software, validation, safety, security, program teams, customers and technology partners.
• Analyze system performance, availability and reliability constraints and convert them into architectural decisions.
• Identify architectural gaps and risks early, define mitigations and drive complex cross-domain issues to closure.
• Balance functionality, performance, cost, complexity, safety, reliability and product constraints.

All you need is:

• B.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or a related discipline. M.Sc. is an advantage.
• 5+ years of experience in system architecture, system engineering, or development of complex embedded systems.
• Strong understanding of embedded architecture across hardware and software boundaries, including SoCs, MCUs, processors, memory, storage and peripherals.
• Proven experience defining system architectures, interfaces, requirements, functional decomposition and hardware and software partitioning.
• Strong analytical and debugging capabilities for complex multidisciplinary systems.
• Ability to lead technical decisions and align multiple engineering teams without relying on direct authority.
• Excellent communication skills and the ability to explain complex technical topics clearly to diverse stakeholders.

Nice to have:

• Experience with automotive, safety-critical, or high-performance embedded systems.
• Experience with ASPICE, ISO 26262, Polarion, DOORS, or similar development and requirements frameworks.
• Experience working with customers, semiconductor vendors or technology partners.

What will your job look like?

• Own system architecture for complex embedded platforms and major platform capabilities.
• Translate product and customer needs into system concepts, architectures, interfaces and clear requirements.
• Define functional decomposition, hardware and software partitioning, responsibilities, data flows and control flows.
• Drive architectural decisions across compute, memory, storage, networking, power, boot, diagnostics, software update, security and monitoring.
• Lead technical alignment across system, hardware, embedded software, validation, safety, security, program teams, customers and technology partners.
• Analyze system performance, availability and reliability constraints and convert them into architectural decisions.
• Identify architectural gaps and risks early, define mitigationsand drive complex cross-domain issues to closure.
• Balance functionality, performance, cost, complexity, safety, reliability and product constraints.

All you need is:

• B.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or a related discipline. M.Sc. is an advantage.
• 5+ years of experience in system architecture, system engineering, or development of complex embedded systems.
• Strong understanding of embedded architecture across hardware and software boundaries, including SoCs, MCUs, processors, memory, storage and peripherals.
• Proven experience defining system architectures, interfaces, requirements, functional decomposition and hardware and software partitioning.
• Strong analytical and debugging capabilities for complex multidisciplinary systems.
• Ability to lead technical decisions and align multiple engineering teams without relying on direct authority.
• Excellent communication skills and the ability to explain complex technical topics clearly to diverse stakeholders.

Nice to have:

• Experience with automotive, safety-critical, or high-performance embedded systems.
• Experience with ASPICE, ISO 26262, Polarion, DOORS, or similar development and requirements frameworks.
• Experience working with customers, semiconductor vendors or technology partners.

What will your job look like?

• Own system architecture for complex embedded platforms and major platform capabilities.
• Translate product and customer needs into system concepts, architectures, interfaces and clear requirements.
• Define functional decomposition, hardware and software partitioning, responsibilities, data flows and control flows.
• Drive architectural decisions across compute, memory, storage, networking, power, boot, diagnostics, software update, security and monitoring.
• Lead technical alignment across system, hardware, embedded software, validation, safety, security, program teams, customers and technology partners.
• Analyze system performance, availability and reliability constraints and convert them into architectural decisions.
• Identify architectural gaps and risks early, define mitigationsand drive complex cross-domain issues to closure.
• Balance functionality, performance, cost, complexity, safety, reliability and product constraints.

All you need is:

• B.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or a related discipline. M.Sc. is an advantage.
• 5+ years of experience in system architecture, system engineering, or development of complex embedded systems.
• Strong understanding of embedded architecture across hardware and software boundaries, including SoCs, MCUs, processors, memory, storage and peripherals.
• Proven experience defining system architectures, interfaces, requirements, functional decomposition and hardware and software partitioning.
• Strong analytical and debugging capabilities for complex multidisciplinary systems.
• Ability to lead technical decisions and align multiple engineering teams without relying on direct authority.
• Excellent communication skills and the ability to explain complex technical topics clearly to diverse stakeholders.

Nice to have:

• Experience with automotive, safety-critical, or high-performance embedded systems.
• Experience with ASPICE, ISO 26262, Polarion, DOORS, or similar development and requirements frameworks.
• Experience working with customers, semiconductor vendors or technology partners.

What will your job look like?

• Own and evolve complex products end-to-end, from requirements and user experience through implementation and production.
• Design and develop scalable full-stack solutions, including frontend applications, backend services, APIs, data models, integrations, and asynchronous workflows.
• Lead the adoption of agent-led development across discovery, design, implementation, testing, review, and delivery.
• Evaluate and apply evolving AI models, coding agents, agentic workflows, tool calling, context management, and orchestration techniques.
• Translate complex business and technical needs into intuitive, reliable, and maintainable products.
• Drive architectural decisions around scalability, reliability, security, authorization, data integrity, and failure recovery.
• Maintain and improve production systems while collaborating with users, engineers, and cross-functional stakeholders

All you need is:

• B.Sc. in Computer Science, Software Engineering, Information Systems, or a related field—or equivalent practical experience.
• 5+ years of hands-on experience developing complex, production-grade full-stack systems.
• Strong experience with TypeScript, Node.js, React, SQL, API development, and modern web architecture.
• Proven ability to own products and technical solutions end-to-end, including UX/UI, backend, frontend, data, integrations, and production operation.
• Strong product mindset and the ability to turn complex workflows into clear, practical user experiences.
• Deep practical understanding of Large Language Models, coding agents, agentic workflows, tool use, context management, and AI-assisted software development.
• Demonstrated technical leadership in adopting and scaling agent-led development practices.
• Strong system-design and troubleshooting skills across applications, databases, infrastructure, and external services.
• Independent, hands-on, and highly motivated, with excellent communication and collaboration skills.
• Fluent in English.
• Experience with Next.js, Python, PostgreSQL, Redis, Kubernetes, Docker, and CI/CD.
• Experience building or operating production LLM applications and agent orchestration systems.
• Familiarity with Model Context Protocol, retrieval-augmented generation, AI evaluation, and observability.
• Experience integrating enterprise services, identity systems, and external APIs.

Who you are?

• An electrical interconnect expert who thinks in bend radii, dynamic flex-life, strain relief, and signal integrity.
• Hands-on: you build, route, terminate, and test your own harnesses in the lab.
• Meticulous about documentation: every wire, connector, pinout, and schematic is traced, version-controlled, and managed in PLM/PDM.
• A strong collaborator across mechanical, electrical, thermal, and embedded firmware teams.

Responsibilities:

• Design the full robot wiring harness architecture: power distribution (high-current motor phases, bus voltage), communication networks (EtherCAT/CAN), and sensor signal lines.
• Route harnesses through high-DOF moving joints, limbs, and torso with optimized bend radii, strain relief, and dynamic flex-life performance.
• Perform thermal derating analysis and ampacity safety assessments for high-current motor phase and power distribution lines.
• Select and specify connectors, terminals, wire gauges, shields, and protective sleeving for high-flex, high-vibration robotic environments.
• Design harness breakouts, junction modules, and quick-disconnect connectors for assembly and field serviceability.
• Develop dynamic flex-life test rigs for harness-joint mockups to evaluate endurance and model failure modes.
• Generate complete documentation: schematics, wire lists, pinouts, BOMs, and 3D harness routing models.
• Collaborate with Mechanical Engineers to define cable channels, pass-through glands, and mounting features in the structure.
• Define EMC/EMI mitigation strategies: shielding, grounding topology, and separation of power and high-speed signal lines.

Requirements:

• B.Sc. or higher in Electrical Engineering, Mechatronics, or related technical field (exceptional practical experience in robotic harness design may be considered).
• 5+ years of wiring harness and interconnect design experience in robotics, automotive, aerospace, or industrial automation.
• Proficiency in 3D/2D harness routing tools (SolidWorks Electrical 3D, NX Routing, Creo Harness, Zuken E3.series, or Mentor Capital).
• Deep expertise in high-flex cables, dynamic shielding, and connector reliability under vibration.
• Hands-on prototyping capabilities: crimping, soldering, potting, termination, and continuity testing.
• Strong understanding of EMC/EMI principles, high-speed signal integrity (EtherCAT/CAN), and thermal management.

Advantages:

• Experience designing harnesses for humanoid robots, quadrupeds, or multi-DOF articulated manipulators.
• Familiarity with automotive harness qualification standards (LV 214, USCAR) and flex-testing methodology.
• Practical experience designing and building automated or semi-automated harness test rigs.
• Comfortable communicating technical topics in English with international teams.

What will your job look like:

• Board design including High-speed interfaces and power design.
• Work with PCB Layout Engineers for multilayer PCBs.
• Define and accompany Si/Pi simulation activity and/or execute such simulations when required.  
• Accompany Mechanical Design and Thermal/Mechanical simulation.
• Execute Board Bring-up and take care of suitable test report documentation.
• Prepare, HW/SW Interface documentation, as well as any HW manual board required.   
• Lead complex debug, fault analysis activities, and find creative solutions.
• Accompany Validation and automotive Qualification tests (DVT/PVT).
• Direct communication with customers, suppliers, architects, project managers, and various stakeholders.

All you need is:

• BSc Electrical / Electronic Engineering from a known institute, preferably a leading university.
• Minimum 7 years of experience of HW Board Design involving high speed signals.
• Strong system-level understanding.
• Knowledge and experience in hands-on board debug.
• Background with board-design tools (preferably Orcad).
• Good SI/PI understanding in perspective of multi-layer PCB design.
• Knowledge of operating laboratory equipment (such as Oscilloscope, Logic-Analyzer, Spectrum Analyzer, VNA).
• Team player with a very good interpersonal relationship.
• Organized and detailed oriented.
• Fluent in English (spoken and written).

Nice to have:

• Experience in Automotive HW design.
• Experience with EMC/Power design.

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:

• Conduct signal integrity (SI) simulations for automotive electronic systems, analyzing and optimizing high-speed interfaces, such as LPDDR4/5, PCIe Gen4/5, A/C/D-PHY, Multi Giga-Bit Ethernet .
• Conduct Power integrity (PI) simulations, optimizing target impedance and AC coupling in power delivery networks to ensure optimal performance and reliability.
• Collaborate with Silicon & Hardware design engineers, IP providers, Electrical and System Validation teams, EDA tools vendors, and product managers to address SI/PI issues and provide actionable design recommendations.
• Engage in joint simulation and measurement efforts with the Electrical Validation team to facilitate comprehensive validation of designs. Perform root cause analysis on signal and power integrity failures and propose effective corrective actions.
• Generate comprehensive reports and presentations to communicate simulation findings and design strategies to technical and non-technical stakeholders.

All you need is:

• Bachelor or master's degree in electrical engineering.
• At least 5 years of experience as an Integrity Engineer.
• Proven experience in signal and power integrity analysis
• Proficiency in simulation tools such as HyperLynx, ANSYS, ADS or equivalent, including 2.5D/3D extraction.
• Strong knowledge of transmission line theory, electromagnetic principles, and PCB design best practices.
• Experience with lab measurement equipment for SI/PI validation (e.g., oscilloscopes, TDR) - Advantage
• Excellent analytical and problem-solving skills, with a keen attention to detail.
• Strong communication skills and the ability to work collaboratively in a dynamic team environment.

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.
• Previous managerial experience is an advantage.

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.

What will your job look like?

• Lead the design & development SOTIF (Safety Of The Intended Functionality) concept and KPIs for AV systems.
• Work closely with R&D and validation on bringing our concepts to reality.
• Initiate new methods and tools to support the safety analysis of the AV system.
• Hands-on development of tools, analysis and solutions together with an Agile team.
• Identify potential safety risks , such as driver behavior, and develop strategies to mitigate those risks.
• Develop and implement SOTIF requirements and guidelines for the design, development, and testing of systems.
• Work with the automotive industry to get to a wide acceptance of our methodology.
• Work closely with customers and regulators on SOTIF related aspects.

All you need is:

• B.Sc. or M.Sc. in Computer Science, Mathematics, Data Science, Electrical Engineering, or a related technical discipline.
• 5+ years of experience in development or product management of SW\systems.
• Significant experience in building technical solutions with AI.
• Skills in Python or other scripting language.
• Knowledge of SQL.
• Knowledge in statistical modeling and DOE.
• Analytical and problem-solving skills to identify SOTIF risks and develop solutions.
• Excellent communication and interpersonal skills.
• Excellent leadership and teamwork skills to work collaboratively with cross-functional teams.
• Strong time management and organizational skills to meet SOTIF-related deadlines.
• Motivation to help shape the future of safe autonomous mobility

Nice to have:

• In-depth knowledge of SOTIF concepts and standards, such as ISO/PAS 21448 and UL 4600.
• Expertise in safety-critical system design and development processes.
• Familiarity with safety analysis methods, such as hazard analysis and risk assessment.
• Strong coding skills.
• Statistics tools experience and skills.

What will your job look like:

• Architect and develop Linux userspace and service bring-up so the distribution boots into a consistent,
  operational platform under embedded constraints.
• Enable and integrate an SDK into the OS image - drivers, libraries, runtimes, and filesystem layout as
  first-class distribution components.
• Own distribution composition, including packages, sysroots, and image features that make the SDK and
  core OS a maintainable, versioned platform.
• Develop Python-based deployment tooling to provision targets with a reproducible OS + SDK environment
  (image delivery, flashing, and environment setup).
• Debug at the OS boundary - init/service failures, library and ABI mismatches, missing dependencies, and
  SDK/runtime issues on the target.
• Perform root cause analysis on system-level failures in the distribution, from boot and userspace bring-up
  through a fully operational stack.
• Collaborate on board bring-up, tailoring the distribution and SDK integration to new EyeQ generations and
  related target hardware.

All you need is:

• Outstanding graduate in Computer Science or similar field.  
• 5+ years of experience in Embedded Linux development, with a focus on systems software, userspace, or
  distribution work.
• Strong C/C++ skills and a solid understanding of POSIX APIs, libraries, and how userspace talks to the
  kernel.
• Deep knowledge of Linux Internals, specifically the boot process (Bootloaders, Kernel hand-off, Init
  systems) and root filesystem layout.
• Hands-on experience with Embedded Linux Distributions (e.g., custom Yocto recipes, Buildroot, or
  Linux-from-scratch).
• Experience enabling vendor SDKs or BSP stacks on Linux — integrating third-party drivers, runtimes, and
  userspace components into a custom image.
• Proficiency in debugging tools like GDB, Valgrind, strace, and perf.
• Experience with Python for infrastructure and tool development — deployment, packaging, and
  environment setup.

Nice to have:

• Background in Automotive Software.
• Experience with GPU/accelerator compute stacks (driver + userspace runtime, inference/compute
  libraries, cross-sysroot workflows).
• Familiarity with reading hardware schematics and reasoning about basic hardware interfaces and signal.

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:

• 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?

• Work on thermal development of next-generation SoCs and air/liquid-cooled ECU platforms, covering product requirements, thermal architecture, design, simulation, characterization, testing and qualification.
• Perform detailed thermal performance assessment and CFD analysis of next-generation SoC/package designs, including die/package temperature distribution, heat spreading, thermal interfaces, material and stack-up optimization, and thermal resistance evaluation
• Develop and evaluate advanced cooling solutions, including air cooling, liquid cooling, heat pipes, and advanced heat-spreading technologies.
• Support vehicle-level cooling architecture and ECU integration for next-generation autonomous driving and Robotaxi platforms.
• Define cooling requirements including coolant temperature, flow rate, pressure drop, thermal interfaces, and system thermal margins.
• Correlate simulation results with laboratory and product measurements, drive thermal optimization and troubleshooting throughout development and qualification.
• Work closely with silicon Arch, package, HW, mechanical, electrical, validation, suppliers, Tier-1s and OEM customers.

All you need is:

• M.Sc. in Mechanical Engineering, Thermal Engineering, Aerospace Engineering, or a related field.
• 5+ years of relevant experience in thermal engineering for electronic systems, semiconductor packages, ECUs, or high-performance computing.
• Strong expertise in heat transfer, fluid mechanics, thermal management, and thermal/CFD simulation using dedicated thermal simulation tools such as Celsius EC, Icepak, FloTHERM or equivalent.
• Proven experience developing and validating air and/or liquid-cooling solutions for high-power electronics, with demonstrated experience taking products through qualification, NPI, and mass production.
• Demonstrated ability to independently lead complex technical activities across multiple engineering disciplines.
• Excellent technical communication skills in English.

Nice to have:

• Experience in semiconductor package thermal design and characterization.
• Background in automotive ECUs, high-performance compute platforms, and automotive qualification.
• Hands-on experience with advanced cooling technologies, including heat pipes, vapor chambers, and cold plates.
• Experience working with Tier-1 suppliers, OEMs, packaging houses, and thermal solution vendors.

What will your job look like?

• Work on thermal development of next-generation SoCs and air/liquid-cooled ECU platforms, covering product requirements, thermal architecture, design, simulation, characterization, testing and qualification.
• Perform detailed thermal performance assessment and CFD analysis of next-generation SoC/package designs, including die/package temperature distribution, heat spreading, thermal interfaces, material and stack-up optimization, and thermal resistance evaluation
• Develop and evaluate advanced cooling solutions, including air cooling, liquid cooling, heat pipes, and advanced heat-spreading technologies.
• Support vehicle-level cooling architecture and ECU integration for next-generation autonomous driving and Robotaxi platforms.
• Define cooling requirements including coolant temperature, flow rate, pressure drop, thermal interfaces, and system thermal margins.
• Correlate simulation results with laboratory and product measurements, drive thermal optimization and troubleshooting throughout development and qualification.
• Work closely with silicon Arch, package, HW, mechanical, electrical, validation, suppliers, Tier-1s and OEM customers.

All you need is:

• M.Sc. in Mechanical Engineering, Thermal Engineering, Aerospace Engineering, or a related field.
• 5+ years of relevant experience in thermal engineering for electronic systems, semiconductor packages, ECUs, or high-performance computing.
• Strong expertise in heat transfer, fluid mechanics, thermal management, and thermal/CFD simulation using dedicated thermal simulation tools such as Celsius EC, Icepak, FloTHERM or equivalent.
• Proven experience developing and validating air and/or liquid-cooling solutions for high-power electronics, with demonstrated experience taking products through qualification, NPI, and mass production.
• Demonstrated ability to independently lead complex technical activities across multiple engineering disciplines.
• Excellent technical communication skills in English.

Nice to have:

• Experience in semiconductor package thermal design and characterization.
• Background in automotive ECUs, high-performance compute platforms, and automotive qualification.
• Hands-on experience with advanced cooling technologies, including heat pipes, vapor chambers, and cold plates.
• Experience working with Tier-1 suppliers, OEMs, packaging houses, and thermal solution vendors.

What will your job look like?

• Work on thermal development of next-generation SoCs and air/liquid-cooled ECU platforms, covering product requirements, thermal architecture, design, simulation, characterization, testing and qualification.
• Perform detailed thermal performance assessment and CFD analysis of next-generation SoC/package designs, including die/package temperature distribution, heat spreading, thermal interfaces, material and stack-up optimization, and thermal resistance evaluation
• Develop and evaluate advanced cooling solutions, including air cooling, liquid cooling, heat pipes, and advanced heat-spreading technologies.
• Support vehicle-level cooling architecture and ECU integration for next-generation autonomous driving and Robotaxi platforms.
• Define cooling requirements including coolant temperature, flow rate, pressure drop, thermal interfaces, and system thermal margins.
• Correlate simulation results with laboratory and product measurements, drive thermal optimization and troubleshooting throughout development and qualification.
• Work closely with silicon Arch, package, HW, mechanical, electrical, validation, suppliers, Tier-1s and OEM customers.

All you need is:

• M.Sc. in Mechanical Engineering, Thermal Engineering, Aerospace Engineering, or a related field.
• 5+ years of relevant experience in thermal engineering for electronic systems, semiconductor packages, ECUs, or high-performance computing.
• Strong expertise in heat transfer, fluid mechanics, thermal management, and thermal/CFD simulation using dedicated thermal simulation tools such as Celsius EC, Icepak, FloTHERM or equivalent.
• Proven experience developing and validating air and/or liquid-cooling solutions for high-power electronics, with demonstrated experience taking products through qualification, NPI, and mass production.
• Demonstrated ability to independently lead complex technical activities across multiple engineering disciplines.
• Excellent technical communication skills in English.

Nice to have:

• Experience in semiconductor package thermal design and characterization.
• Background in automotive ECUs, high-performance compute platforms, and automotive qualification.
• Hands-on experience with advanced cooling technologies, including heat pipes, vapor chambers, and cold plates.
• Experience working with Tier-1 suppliers, OEMs, packaging houses, and thermal solution vendors.

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.

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.

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.

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.

Nice to have:

• Skills in scripting Perl/Python.
• Knowledge in Industry Standard protocols such as AXI/OCP/APB.

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.

Nice to have:

• Skills in scripting Perl/Python.
• Knowledge in Industry Standard protocols such as AXI/OCP/APB.

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:

• 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:

• 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 in signal processing 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:

• 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:

• 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:

• Lead and mentor a team of ~5 Software and Algorithm Developers, while staying closely involved in technical decisions, system design, and architecture.
• Design and build scalable data infrastructure and software solutions that support large-scale data workflows for Algorithm and Deep Learning teams.
• Develop Python-based libraries, data workflows, validation and monitoring systems for large-scale sensor data.
• Work closely with Algorithm and Deep Learning teams to understand their needs and translate them into scalable software and data solutions.
• Build and maintain development infrastructure, including databases, dashboards, CI/CD pipelines, and automated documentation.
• Contribute to technical solutions involving 3D data, calibration, coordinate transformations, and geometric concepts.

All you need is:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field.
• 2+ years of experience leading, mentoring, and developing engineering teams.
• Strong foundation in algorithms, data structures, and algorithmic complexity.
• 5+ years of hands-on Software / Backend engineering experience, with strong Python skills and experience building large-scale production systems.
• Strong experience designing and building scalable data-intensive systems, including distributed architectures, databases, cloud-based services, and microservices.

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.

Who you are?

• A senior mechanical designer who thinks in mass budgets, center-of-mass targets, and load paths, not just CAD aesthetics.
• Hands-on: you prototype, iterate, test, and validate your own designs in the lab.
• Proficient with lightweight structures and advanced materials (carbon fiber composites, high-strength aluminum alloys).
• A strong collaborator across actuation, electrical, thermal, and testing teams.

Responsibilities:

• Own the whole-body mechanical structure: torso frame, limb skeletons, joint mounting interfaces, drive mechanism integration, and outer shell/covers.
• Define and manage the mass budget, center-of-mass targets, and structural envelope across the robot with the Systems Architect.
• Design lightweight, high-stiffness structures using topology optimization, generative design, and FEA validation (structural, modal, thermal).
• Collaborate with electrical and thermal teams to integrate actuator modules, battery packs, compute units, and sensors, ensuring optimized thermal dissipation paths and easy service access.
• Work with Actuation and Control teams to define joint layout, kinematic constraints, and actuator/reducer mounting (harmonic, planetary, linkage mechanisms).
• Incorporate environmental protection (e.g., IP rating requirements) and impact protection into critical structural covers.
• Manage structural CAD from concept to fabrication, including tolerance analysis, DFM/DFA for prototype and mass production, PLM/PDM version control, and BOM management.
• Lead structural validation tests: drop, shock, load, vibration, and fatigue testing in coordination with the V&V team.

Requirements:

• B.Sc. or M.Sc. in Mechanical Engineering, Mechatronics, or related field.
• 5+ years of mechanical structural design experience in humanoid/quadruped robotics, aerospace, automotive, or advanced machinery.
• Mastery of CAD software (SolidWorks/NX/Creo) with a proven concept-to-hardware production track record.
• In-depth understanding of robot joint transmission mechanisms (harmonic reducers, planetary gears, linkage/push-rod actuators).
• Strong experience in FEA (structural, modal, thermal) and lightweight structural design.
• Hands-on experience with prototype fabrication: precision machining, sheet metal, composite layup, 3D printing.
• Strong lab testing skills and a data-driven iteration culture.
• Proven capability in analyzing real-world mass production issues and optimizing design solutions.
• Hands-on experience with mass-production tooling and mold qualification.

Advantages:

• Direct experience designing humanoid, quadruped, or exoskeleton robot structures (e.g., Unitree, AgiBot, Fourier, UBTech).
• Multi-body dynamics simulation experience (Adams, RecurDyn) and drop/impact simulation capability.
• Carbon fiber composite structural design and manufacturing expertise.
• Experience with high-volume DFM, injection molding, and die casting.
• Comfortable communicating technical topics in English with international teams.

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?

• Work closely with the VP on a daily basis, taking ownership of technical assignments, driving engineering execution, and supporting system-level analysis, planning, and key technical decisions.
• Independently lead complex technical assignments from problem definition through investigation, solution alignment, execution, and closure.
• Develop a deep end-to-end understanding of complex multidisciplinary systems, their architecture, interfaces, dependencies, and operational behavior.
• Lead cross-functional technical investigations, engaging the relevant engineering experts, challenging technical assumptions, and ensuring effective root cause analysis and resolution.
• Perform system-level analysis, evaluate technical alternatives, and identify dependencies and design trade-offs.
• Work closely with Software, Hardware, Algorithms, and Product teams to drive technical alignment, resolve blockers, and ensure effective execution across engineering groups.
• Investigate complex technical challenges, identify gaps, and drive the definition and implementation of practical engineering solutions.
• Identify execution gaps, technical risks, and cross-team dependencies, proactively driving their resolution.
• Translate complex technical findings into clear conclusions, actionable recommendations, and decision points for senior leadership.
• Support technical decision-making throughout the system development lifecycle, ensuring alignment between technical decisions and execution priorities.

All you need is:

• B.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or a related engineering field.
• More than 6 years of experience in System Engineering or System Design within complex technological systems, with demonstrated experience leading cross-functional technical activities.
• Proven ability to independently drive complex technical assignments and deliver results through multidisciplinary engineering teams.
• Strong understanding of system architecture, design principles, and multidisciplinary systems, with the ability to understand and challenge technical solutions across different engineering domains.
• Ability to analyze complex technical problems, ask the right technical questions, challenge assumptions, and drive effective problem resolution.
• Experience working closely with multidisciplinary R&D teams, including leading technical discussions and driving alignment without direct managerial authority.
• Strong execution mindset, high level of ownership, and ability to operate independently in a dynamic environment with evolving priorities.
• Excellent communication skills, including the ability to present complex technical topics, risks, and recommendations to senior management.
• Strong analytical, communication, and problem-solving skills.

Nice to have:

• Experience in ADAS, Autonomous Driving, or automotive systems.
• Experience working on large-scale, software-intensive, multidisciplinary systems.
• Experience driving technical investigations, system-level problem resolution, and cross-functional engineering execution.

What will your job look like?

• Define and drive the integration and test strategy for features across multi-SoC ECU platforms.
• Liaise with OEMs to align on integration and test requirements.
• Lead root-cause analysis and debugging of complex integration/test failures, setting the technical approach for the wider team.
• Coordinate with internal and external software suppliers to align integration/test milestones with deployment timelines.
• Work with hardware and software teams to identify, track, and resolve integration dependencies and defects.
• Set up and commission new lab environments, and manage existing lab infrastructure.
• Establish and maintain test strategy, test cases, test reports, and traceability documentation.
• Provide technical mentorship and review guidance to other integration/test engineers, without formal people-management responsibility.
• Contribute to the development of cutting-edge automotive products, including semi and fully autonomous vehicles.

All you need is:

• Bachelor's Degree in Computer Science or related technical field.
• At least 7+ years of experience in system integration and testing, with demonstrated technical leadership.
• In-depth knowledge of vehicle topology and ECU system architecture.
• Strong communication skills for technical and stakeholder interactions.
• Proven track record leading integration/test efforts on complex, multi-SoC systems.
• Familiarity with relevant industry standards, test methodologies, and homologation processes.
• Willingness to travel within Germany/Europe for workshops.
• Proficient in English.

Nice to have:

• Experience leading test execution and validation for multi-SoC ECU deployments.
• Knowledge of ECU debugging, secure boot, and system hardening.
• Conflict resolution skills for design and test-related decision-making.
• Proficiency in German is a plus.