The search for your future starts here

What will your job look like:

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

All you need is:

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

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

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

• Proficiency in Python and NumPy.

Nice to have:

• Hands-on experience with multi-view geometry.

• Background in statistical estimation.

The Position: AI Algorithm Engineer

What will your job look like:

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

We expect you to:

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

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
• Finally, you will need to learn and develop new algorithms which can address new problems as they arise

All you need is:

• B.Sc. in Mathematics, Physics, or Computer Science 
• Advanced degree (M.Sc. or Ph.D.) – advantage
• Experience in development in C++
• Experience in Python and NumPy – advantage 
• Experience in statistical estimation – advantage
• Proven ability to solve complex problems

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 
• Experience in Python and NumPy – advantage
• Experience in statistical estimation – advantage
• Proven ability to solve complex problems

The Position:

What will your job look like:

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

All you need is:

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

Nice to have:

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

What will 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:

• Own the full development lifecycle: from training generative models to adapting existing state-of-the-art architecture for concrete, real-world autonomous driving use cases.
• Research, evaluate, and improve GenAI and computer vision models with a focus on scalable and clean Python implementation.
• Collaborate with cross-functional teams, including AI researchers and perception teams, to integrate synthetic data into real-world AI applications.
• Stay up to date with the latest advancements in AI, Generative Models, and Computer Vision.

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.
• Excellent proficiency in Python and PyTorch.
• Strong problem-solving, research, and analytical thinking skills.
• Experience with Generative AI methods (Diffusion Models, GANs, etc.).
• Experience with Vision-Language Models (VLMs) and Multi-modal learning.
• Publications in top-tier conferences (CVPR, NeurIPS, ECCV, etc.).
• Experience with Linux, AWS, Docker, and virtual environments.
• Knowledge of classic computer vision.

What will your job look like:

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

   

All you need is:

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

Nice to have:

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

What your job will look like:

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

All you need is:

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

• Research, design, develop, and implement lidar based algorithms in both Python and C++ for solving complex problems
• Evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
• Examine your algorithms on large-scale real-world data from our data collection vehicles across the globe
• Collaborate with cross-functional teams to understand requirements and develop solutions
• Optimize existing algorithms to improve performance and scalability

All you need is:

• M.Sc. in Computer Science, Electrical Engineering or a related field
• 3+ years of experience in developing Computer Vision algorithms
• Strong statistical analysis, mathematical, and problem-solving skills
• Ability to learn new technologies and techniques
• Independence, creativity and a proactive approach
• Experience with the automotive industry is an 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.
• Experience with automotive cybersecurity standards (ISO 21434, UNECE WP.29).
• Understanding of CAN, Ethernet, and automotive communication protocols.
• Excellent communication and documentation abilities.
• Strong problem-solving mindset and ability to work in cross-disciplinary teams.
• Experience in radar system development or RF engineering - Advantage
• Knowledge of AI/ML security considerations - Advantage
• Certifications such as CISSP, CCSP, or CEH - Advantage

What will your job look like:

• Contribute to building a new deep learning project from scratch, with real impact on production systems.
• Work on end-to-end model development, including problem formulation, data understanding, model design, training, evaluation, optimization, and deployment.
• Develop and train state-of-the-art deep learning models for computer vision tasks.
• Explore and define the best technical approach in an open, research-driven environment, where solutions are not predefined.
• Tackle real-world challenges where model performance is critical and directly impacts product capabilities.                                  

All you need is:

• M.Sc. in Computer Science, Electrical Engineering, or Software Engineering (Ph.D. is an advantage).
• 3+ years of hands-on experience in end-to-end deep learning model development and training.
• Strong programming skills in Python and C++.
• Experience working with Transformer-based models- advantage.
• Strong understanding of model behavior, training dynamics, and performance optimization.
• Ability to tackle complex challenges with strong problem-solving skills and a deep-dive approach.

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) 

• Experience leveraging AI agents and modern productivity tools in development workflows – advantage 

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

• Experience with cloud environments and big data tools – advantage 

What will your job look like?

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

All you need is:

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

What will your job look like:

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

All you need is:

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

What will your job look like:

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

All you need is:

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

What will your job look like?

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

All you need is:

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

Who you are期待中的你

• A power-electronics and mixed-signal designer who loves compact, high-density boards
• 一位热爱紧凑、高密度PCB板的功率电子与混合信号设计师
• Rigorous on the bench: you validate your design with current probes and thermal cameras, not assumptions
• 在测试台上严谨求实：你用电流探头与热像仪验证设计，而非凭假设
• A close collaborator - your daily partners are firmware and control engineers
• 一位紧密的协作者——你日常的伙伴是固件与控制工程师

Responsibilities岗位职责

• Design the joint motor controller PCB: inverter stage (MOSFET selection, gate drivers), phase current sensing, bus voltage sensing, and protections
• 设计关节电机控制器 PCB：逆变级（MOSFET 选型、栅极驱动）、相电流采样、母线电压采样与保护
• Design encoder, temperature, and auxiliary sensor interfaces on the board
• 在板上设计编码器、温度与辅助传感器接口
• Integrate the communication physical layer (EtherCAT/CAN) and MCU subsystem in partnership with the embedded team
• 与嵌入式团队合作，集成通信物理层（EtherCAT/CAN）与 MCU 子系统
• Own layout for high-current, high-density, thermally constrained boards that package inside actuator modules
• 负责需封装于执行器模块内部的大电流、高密度、受热约束PCBA的布局
• Run board bring-up: power-on, signal integrity, current loop sanity, thermal validation under load
• 进行PCBA调试上电（Board bring up）：上电、信号完整性、电流环合理性以及负载下的热验证
• Iterate fast across board revisions with local PCB/PCBA suppliers together with sourcing
• 与供应链团队一起，借助本地 PCB/PCBA 供应商在各版本板卡间快速迭代
• Support EMI/EMC robustness and harness/connector definition with the power systems engineer
• 与电源系统工程师一起支持 EMI/EMC 鲁棒性以及线束/连接器的定义

Requirements任职要求

• B.Sc. or M.Sc. in Electrical Engineering or related fileds
• 电气工程或相关专业学士或硕士学位
• 8+ years designing motor drive or power electronics boards (BLDC inverters, servo drives, ESCs, or similar)
• 8年以上电机驱动或功率电子板卡设计经验（无刷直流逆变器、伺服驱动器、电调或类似产品）
• Strong schematic and layout skills (Altium or equivalent) for mixed-signal, high-current designs
• 针对混合信号、大电流设计具备扎实的原理图与布局能力（Altium 或同类工具）
• Hands-on bring-up and debug experience: oscilloscopes, current probes, thermal measurement
• 具备动手调试上电与排错经验：示波器、电流探头、热测量
• Solid understanding of FOC drive requirements: current sensing accuracy, PWM dead-time, gate drive design
• 扎实理解 FOC 驱动的各项要求：电流采样精度、PWM 死区时间、栅极驱动设计
• Experience working closely with firmware teams on board bring-up
• 具备在板卡调试上电中与固件团队紧密协作的经验

Advantages加分项

• Experience with integrated actuator drives ('smart joints') in robotics or drones
• 具备机器人或无人机领域集成式执行器驱动（“智能关节”）的经验
• EtherCAT or CAN-FD hardware integration experience
• 具备 EtherCAT 或 CAN-FD 硬件集成经验
• Experience with GaN or high-frequency switching designs
• 具备氮化镓（GaN）或高频开关设计经验
• Familiarity with functional safety concepts (STO, protections)
• 熟悉功能安全概念（STO、各类保护）
• Comfortable communicating technical topics in English with international teams
• 能够用英语与国际团队就技术话题进行交流

Who you are 期待中的你

• A pragmatic system electrical engineer - you scope to what the prototype needs
• 一位务实的系统级电气工程师——你的工作范围紧扣原型的实际需求
• Safety-first where it matters: batteries, e-stop, and protection are non-negotiable
• 在关键之处安全第一：电池、急停与保护不容妥协
• Comfortable owning everything from pack design to the last connector
• 能够从电池包设计一直负责到最后一个连接器

Responsibilities岗位职责

• Design a simple, robust battery pack for the prototype: cell selection, pack architecture, and the necessary battery management (protection, monitoring, charging)
• 为原型设计简单而稳健的电池包：电芯选型、电池包架构以及必要的电池管理（保护、监测、充电）
• Design robot-wide power distribution: bus architecture, regeneration handling, fusing, and pre-charge
• 设计覆盖全机的配电系统：母线架构、能量回馈处理、熔断与预充
• Own the safety chain: e-stop, contactors, and fault disconnection paths
• 负责安全链路：急停、接触器与故障断开通路
• Design and route the full wiring harness - power and communication - through joints and limbs, together with the actuation team
• 与执行器团队一起，设计并布置贯穿关节与肢体的完整线束——包括电源与通信
• Define connectors and cabling for high-flex, high-current robot use
• 为高弯曲、大电流的机器人应用定义连接器与线缆
• Integrate compute and sensor power domains (Jetson, cameras, IMU)
• 集成计算与传感器供电域（Jetson、相机、IMU）
• Validate the power system under real locomotion loads; instrument and measure
• 在真实运动负载下验证电源系统；进行测量与数据采集

Requirements任职要求

• B.Sc. or M.Sc. in Electrical Engineering
• 电气工程专业学士或硕士学位
• 5+ years in system-level electrical design for robotics, automotive, drones, or battery-powered machines
• 5 年以上面向机器人、汽车、无人机或电池供电设备的系统级电气设计经验
• Hands-on experience with Li-ion battery pack design and BMS integration
• 具备锂离子电池包设计与 BMS 集成的动手经验
• Experience with high-current DC power distribution and protection design
• 具备大电流直流配电与保护设计经验
• Practical harness design experience: routing, strain relief, connectors for moving mechanisms
• 具备实际的线束设计经验：走线、应力释放、面向运动机构的连接器
• Strong lab skills and a safety-driven working culture
• 扎实的实验室技能与以安全为驱动的工作文化

Advantages加分项

• Experience in EV / automotive power systems or legged robotics
• 具备电动汽车/汽车电源系统或足式机器人方面的经验
• EMI/EMC mitigation experience in dense electromechanical systems
• 具备在高密度机电系统中进行 EMI/EMC 抑制的经验
• Familiarity with regenerative braking energy handling in motor-driven systems
• 熟悉电机驱动系统中再生制动能量的处理
• Comfortable communicating technical topics in English with international teams
• 能够用英语与国际团队就技术话题进行交流

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
• Experience with advanced lab equipment (Scope, BERT, etc.) is strong advantage.
• Experience in Signal/Power Integrity design - An advantage
• Experience with analog circuits or PHY IP knowledge - An advantage
• Strong sense of ownership, commitment, and responsibility
• Good interpersonal communication skills

Who you are期待中的你

• A bare-metal firmware engineer who thinks in microseconds and interrupt priorities
• 一位以微秒和中断优先级来思考的裸机固件工程师
• Obsessive about determinism, correctness, and clean fault behavior
• 对确定性、正确性以及干净的故障行为近乎执着
• At home on the bench with a logic analyzer and an oscilloscope
• 在配有逻辑分析仪与示波器的测试台前得心应手

Responsibilities岗位职责

• Design and develop real-time firmware in C for the STM32-class MCU on the Motor Controller PCB - bare metal, no OS
• 为电机控制器 PCBA 开发板上的 STM32 级 MCU 用 C 语言设计并开发实时固件——裸机、无操作系统
• Implement and optimize the control algorithms defined by the Motion Control Engineer: FOC commutation and current/velocity/position loops, with guaranteed loop timing
• 实现并优化运动控制工程师定义的控制算法：FOC 换相以及电流/速度/位置环，并保证环路时序
• Own calibration routines (encoder offset, current sensing), protections, and fault handling (over-current, over-temperature, encoder loss)
• 负责标定流程（编码器偏置、电流采样）、各类保护以及故障处理（过流、过温、编码器丢失）
• Implement the EtherCAT/CAN slave stack and the joint-level communication API exposed to the robot's compute platform
• 实现 EtherCAT/CAN 从站协议栈，以及向机器人计算平台开放的关节级通信 API
• Own bootloader, flashing, and fleet firmware-update flow across all joints
• 负责所有关节的Bootloader、烧录以及批量固件升级流程
• Work with high-speed peripherals: ADCs, DMA, timers/PWM, interrupts
• 使用高速外设：ADC、DMA、定时器/PWM、中断
• Bring up new board revisions with the electrical engineer; debug with logic analyzers, oscilloscopes, and HIL setups
• 与电气工程师一起对新版本开发硬件进行调试上电；借助逻辑分析仪、示波器与 HIL 平台排错
• Take full ownership of your code - from bring-up to deployment on the walking robot
• 对自己的代码全权负责——从调试上电到在行走机器人上部署

Requirements任职要求

• B.Sc. in Electrical Engineering, Computer Engineering, or a related field
• 电气工程、计算机工程或相关专业学士学位
• 8+ years of embedded firmware development in bare-metal, hard real-time systems
• 8年以上裸机、硬实时系统的嵌入式固件开发经验
• Strong proficiency in C and STM32 (or equivalent ARM Cortex-M) programming
• 精通 C 语言以及 STM32（或同类 ARM Cortex-M）编程
• Hands-on experience with motor control firmware (FOC, current/velocity/position loops, encoder interfaces) and/or industrial protocols (EtherCAT, CAN)
• 具备电机控制固件（FOC、电流/速度/位置环、编码器接口）和/或工业协议（EtherCAT、CAN）的动手经验
• Excellent debugging skills in both code and hardware environments
• 在代码与硬件环境中均具备出色的调试能力
• Comfortable with schematics, datasheets, and bench instrumentation
• 能够熟练查阅原理图、数据手册并使用测试台仪器

Advantages加分项

• Deep EtherCAT knowledge, including slave stack integration and real-time tuning
• 深入掌握 EtherCAT，包括从站协议栈集成与实时调优
• Experience with servo drives, drone ESCs, or robot joint controllers
• 具备伺服驱动器、无人机电调或机器人关节控制器方面的经验
• Exposure to Python for test automation
• 接触过用于测试自动化的 Python
• Familiarity with MISRA C or structured safety-oriented code practices
• 熟悉 MISRA C 或结构化、面向安全的代码实践
• Comfortable communicating technical topics in English with international teams
• 能够用英语与国际团队就技术话题进行交流

What will your job look like?

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

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

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

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

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

All you need is:

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

• Very strong experience in the Linux Kernel architecture, OS Internals and subsystems (Memory Management, IO, Storage, Networking) 

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

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

• Strong experience in Performance Analysis and Debugging techniques. 

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

• Experience in the user space is a good advantage. 

What will your job look like?

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

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

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

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

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

All you need is:

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

• Very strong experience in the Linux Kernel architecture, OS Internals and subsystems (Memory Management, IO, Storage, Networking) 

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

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

• Strong experience in Performance Analysis and Debugging techniques. 

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

• Experience in the user space is a good advantage. 

What will your job look like?

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

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

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

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

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

All you need is:

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

• Very strong experience in the Linux Kernel architecture, OS Internals and subsystems (Memory Management, IO, Storage, Networking) 

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

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

• Strong experience in Performance Analysis and Debugging techniques. 

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

• Experience in the user space is a good advantage. 

What will your job look like:

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

All you need is:

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

What will your job look like:

• Performance verification of EyeQ SoC designs

• Development of hardware virtual platforms

• Running hardware benchmarks and correlating virtual platform results with silicon measurements

• Development of tracing and profiling tools for CPU performance analysis and optimization

• Close collaboration with hardware architects and software, OS, and algorithm teams

All you need is:

• BSc/MSc in Computer Science, Computer Engineering, or Electrical Engineering

• 5+ years of experience in C/C++ programming

• 5+ years of experience in embedded software development

• Experience with Python and shell scripting

• Strong communication and teamwork skills

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

What will your job look like?

• Lead the technical direction and architecture of embedded software platforms across middleware and application layers.
• Serve as the technical authority for embedded software, combining hands-on C/C++ development with system-level ownership.
• Design scalable, modular software architectures and define clear interfaces between hardware, OS services, middleware, and application software.
• Drive key technical decisions, architectural trade-offs, and long-term roadmap.
• Develop and integrate middleware and application-layer components, including multi-threaded and real-time logic.
• Lead design reviews, mentor embedded software engineers, and promote high coding and architectural standards.
• Take ownership of complex system-level debugging, performance optimization, and software quality.
• Work closely with OS, systems, product, QA, and manufacturing teams to translate product requirements into robust technical solutions.

All you need is:

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or Computer Science.
• 15+ years of experience in embedded software development, including 7+ years in a senior, technical lead, or architect role.
• Expert-level proficiency in C and C++, with hands-on experience in RTOS and/or Embedded Linux.
• Strong system-level understanding of embedded platforms and cross-layer interactions (hardware, OS, middleware, application).
• Proven ability to design modular software architectures and translate system requirements into well-defined interfaces.
• Strong debugging skills and experience resolving complex system-level and cross-component issues.
• Solid understanding of real-time systems, concurrency, memory management, and low-level debugging.
• Experience working with ARM/MIPS-based SoCs and microcontrollers.
• Proven experience leading design discussions and code reviews.
• Knowledge of communication and networking protocols (I²C, SPI, UART, CAN, Ethernet, TCP/IP)- Advantages.
• Familiarity with safety or regulatory standards (MISRA, ISO 26262, ASPICE) - Advantages.
• Python or scripting experience for tooling and automation- Advantages.

What will your job look like?

• Lead the technical direction and architecture of embedded software platforms across middleware and application layers.
• Serve as the technical authority for embedded software, combining hands-on C/C++ development with system-level ownership.
• Design scalable, modular software architectures and define clear interfaces between hardware, OS services, middleware, and application software.
• Drive key technical decisions, architectural trade-offs, and long-term roadmap.
• Develop and integrate middleware and application-layer components, including multi-threaded and real-time logic.
• Lead design reviews, mentor embedded software engineers, and promote high coding and architectural standards.
• Take ownership of complex system-level debugging, performance optimization, and software quality.
• Work closely with OS, systems, product, QA, and manufacturing teams to translate product requirements into robust technical solutions.

All you need is:

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or Computer Science.
• 15+ years of experience in embedded software development, including 7+ years in a senior, technical lead, or architect role.
• Expert-level proficiency in C and C++, with hands-on experience in RTOS and/or Embedded Linux.
• Strong system-level understanding of embedded platforms and cross-layer interactions (hardware, OS, middleware, application).
• Proven ability to design modular software architectures and translate system requirements into well-defined interfaces.
• Strong debugging skills and experience resolving complex system-level and cross-component issues.
• Solid understanding of real-time systems, concurrency, memory management, and low-level debugging.
• Experience working with ARM/MIPS-based SoCs and microcontrollers.
• Proven experience leading design discussions and code reviews.
• Knowledge of communication and networking protocols (I²C, SPI, UART, CAN, Ethernet, TCP/IP)- Advantages.
• Familiarity with safety or regulatory standards (MISRA, ISO 26262, ASPICE) - Advantages.
• Python or scripting experience for tooling and automation- Advantages.

What will your job look like?

• Lead the technical direction and architecture of embedded software platforms across middleware and application layers.
• Serve as the technical authority for embedded software, combining hands-on C/C++ development with system-level ownership.
• Design scalable, modular software architectures and define clear interfaces between hardware, OS services, middleware, and application software.
• Drive key technical decisions, architectural trade-offs, and long-term roadmap.
• Develop and integrate middleware and application-layer components, including multi-threaded and real-time logic.
• Lead design reviews, mentor embedded software engineers, and promote high coding and architectural standards.
• Take ownership of complex system-level debugging, performance optimization, and software quality.
• Work closely with OS, systems, product, QA, and manufacturing teams to translate product requirements into robust technical solutions.

All you need is:

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or Computer Science.
• 15+ years of experience in embedded software development, including 7+ years in a senior, technical lead, or architect role.
• Expert-level proficiency in C and C++, with hands-on experience in RTOS and/or Embedded Linux.
• Strong system-level understanding of embedded platforms and cross-layer interactions (hardware, OS, middleware, application).
• Proven ability to design modular software architectures and translate system requirements into well-defined interfaces.
• Strong debugging skills and experience resolving complex system-level and cross-component issues.
• Solid understanding of real-time systems, concurrency, memory management, and low-level debugging.
• Experience working with ARM/MIPS-based SoCs and microcontrollers.
• Proven experience leading design discussions and code reviews.
• Knowledge of communication and networking protocols (I²C, SPI, UART, CAN, Ethernet, TCP/IP)- Advantages.
• Familiarity with safety or regulatory standards (MISRA, ISO 26262, ASPICE) - Advantages.
• Python or scripting experience for tooling and automation- Advantages.

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?

• Design, train, and evaluate cutting-edge deep learning models on REM proprietary map data
• Perform high-scale, large-volume data analysis
• Integrate new map-based algorithms with full ownership
• Develop tools that enable fast and effective data introspection
• Optimize models and results where needed

All you need is:

• 3+ years of industry experience, including at least 1 year of experience in machine learning
• MSc in Computer Science, Electrical Engineering, or a related engineering field
• Strong experience in Python
• Familiarity with numerical and data science frameworks such as NumPy, Pandas, SciPy, PySpark, TensorFlow, and PyTorch
• Linux knowledge and some familiarity with AWS
• A “get it done” approach and a flexible mindset
• Experience working with AI agents or coding assistants (e.g., Copilot) - an advantage
• Familiarity with Graph Neural Networks (GNNs) - an advantage

What will your job look like?

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

All you need is:

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

What will your job look like?

• Shape Mobileye’s product by applying cutting-edge deep learning network optimization techniques and will have the chance to influence future generations of Mobileye hardware and software
• Develop a deep learning compiler stack that takes neural network descriptions created in frameworks such as PyTorch and converts them into code suitable for execution on custom-built Mobileye hardware
• Use state-of-the-art open-source technologies such as MLIR and work closely with the open-source community
• Develop optimized implementations of a variety of neural-network operations and new optimization techniques and algorithms to efficiently map ML models onto our state-of-the-art systems
• Develop a toolchain that will provide a quantum leap in Deep learning capabilities and performance

All you need is:

• BSc/MSc in Computer Science/Software Engineering from a leading university
• At least 3 years of practical experience with C/C++
• Background in Neural Networks/Deep Learning – Advantage
• Experience in PyTorch – Advantage
• Experience in LLVM/MLIR – Advantage

What will your job look like?

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

All you need is:

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

What will your job look like?

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

All you need is:

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

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:

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

All you need is:

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

What will your job look like:

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

All you need is:

• At least 5 years of experience in the ASIC/SoC industry
• Excellent communication skills
• BSc or MSc in Computer Engineering or Electrical Engineering
• The following knowledge/experience will serve as a big advantage for candidates
• 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?

• In this role, you will build high-end Emulation environments based on new designs. The position involves building and integrating complex components, working with cross-functional engineering teams, and developing systems that will change the way we drive.
• We are looking for an engineer who thrives on challenges and is committed to engineering excellence while navigating complex constraints.

• Lead Emulation development for the VLSI team.

• Work closely with SW, Logic, and Verification engineers.

• Serve as an expert matter for your domain, with full responsibility for driving and implementing improvements and new ideas.

All you need is:

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

• 5+ years of experience in Emulation, including hands-on experience with tools such as Palladium, ZeBu, or Haps.

• 3+ years of experience in Logic Design (Verilog/System Verilog) or Verification (UVM)- an advantage.

• Hands-on experience in bring-up and debugging of PCBs with standard digital interfaces (e.g., SPI, I2C, MIPI) – an advantage.

• Experience working with multiple cross-functional teams (Software, Logic, Verification).

• Experience using standard lab equipment (e.g., multimeters, oscilloscopes, spectrum analyzers).

• A team player with excellent communication skills.

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:

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

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

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

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

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:

• 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:

• Conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
• Lead exploratory investigations into new architectures, training strategies, and data utilization methods
• Join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
• Own projects end-to-end — from concept and experimentation to integration and scalable deployment

All you need is:

• B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field
• 5+ years of hands-on experience in Machine Learning / Deep Learning research and development
• Strong experience with Transformer-based architectures (e.g., Vision Transformers or similar)
• Strong proficiency with PyTorch or TensorFlow and practical experience building and optimizing deep neural networks
• Experience working with cloud environments (e.g., AWS) - including data handling, distributed training, or running large-scale batch jobs
• Proven ability to work both independently and collaboratively, supporting others and leading technical investigations
• Excellent analytical skills, creativity, and a drive to push the limits of applied research

What will your job look like:

• Conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
• Lead exploratory investigations into new architectures, training strategies, and data utilization methods
• Join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
• Own projects end-to-end — from concept and experimentation to integration and scalable deployment

All you need is:

• B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field
• 5+ years of hands-on experience in Machine Learning / Deep Learning research and development
• Strong experience with Transformer-based architectures (e.g., Vision Transformers or similar)
• Strong proficiency with PyTorch or TensorFlow and practical experience building and optimizing deep neural networks
• Experience working with cloud environments (e.g., AWS) - including data handling, distributed training, or running large-scale batch jobs
• Proven ability to work both independently and collaboratively, supporting others and leading technical investigations
• Excellent analytical skills, creativity, and a drive to push the limits of applied research

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

What will your job look like:

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

All you need is:

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

Advantages:

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

What will your job look like:

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

All you need is:

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

Advantages:

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

Who you are期待中的你

• A motor control specialist who can take a noisy, nonlinear physical joint and make it track like a servo catalog page
• 一位电机控制专家，能够将一个充满噪声、非线性的物理关节调校得像伺服样本手册上的指标那样精准跟踪
• Equally fluent in control theory and in what the silicon can actually compute in a 60 kHz loop
• 既精通控制理论，又清楚芯片在60 kHz 控制环路中实际能完成的计算
• Data-driven: you tune with measurements, plots, and system identification - not by feel alone
• 数据驱动：你依靠测量、图表与系统辨识来调参——而非仅凭感觉

Responsibilities岗位职责

• Define and validate the motor control methodology across the robot: FOC and commutation strategies for BLDC motors in quasi-direct-drive configurations with planetary reduction
• 在整机范围内定义并验证电机控制方法论：针对采用行星减速的准直驱构型无刷直流电机的 FOC 与换相策略
• Design current, velocity, and position/torque control loops; define bandwidths, filtering, anti-windup, and saturation handling
• 设计电流、速度与位置/扭矩控制环；定义带宽、滤波、抗积分饱和与饱和处理
• Develop torque estimation, friction and cogging compensation, and observers for joint state
• 开发扭矩估计、摩擦与齿槽补偿，以及关节状态观测器
• Define joint-level safety limits and fault-handling behavior together with embedded
• 与嵌入式团队一起定义关节级安全限值与故障处理行为
• Guide and verify the embedded implementation of your algorithms on the Motor Controller PCB; co-own everything running on that board
• 指导并验证你的算法在电机控制器 PCBA 上的嵌入式实现；与团队共同负责该设计板子上运行的一切
• Design and execute structured characterization tests on the joint dyno: torque, speed, resolution, responsiveness, thermal behavior
• 在关节测功机上设计并执行结构化的特性测试：扭矩、转速、分辨率、响应性、热行为
• Deliver validated actuator models and control limitations to the Sim2Real and RL teams - your measured envelopes become their training constraints
• 向 Sim2Real 与强化学习团队交付经过验证的执行器模型与控制限制——你测得的工作包络将成为他们的训练约束
• Drive improvements in actuation repeatability and responsiveness through precise measurement and feedback
• 通过精确测量与反馈，推动执行重复性与响应性的提升

Requirements任职要求

• B.Sc. or M.Sc. in Electrical, Mechanical, or Control Engineering (or equivalent experience)
• 电气、机械或控制工程专业学士或硕士学位（或同等经验）
• 8+ years in motor control systems or motion system integration
• 8年以上电机控制系统或运动系统集成经验
• Deep hands-on experience with FOC and current/velocity/position loop design for BLDC motors
• 在无刷直流电机的 FOC 以及电流/速度/位置环设计方面具备深厚的动手经验
• Familiarity with planetary gear systems and QDD architectures, and their impact on control and sensing
• 熟悉行星齿轮系统与准直驱（QDD）架构，及其对控制与传感的影响
• Proven ability to define and lead performance test plans from lab setup to interpretation
• 具备从实验室搭建到结果解读全程定义并主导性能测试方案的成熟能力
• Comfortable using lab tools (oscilloscopes, encoders, current sensors) to evaluate dynamic behavior under load and in closed loop
• 能够熟练使用实验室工具（示波器、编码器、电流传感器）评估负载下及闭环中的动态行为
• Impedance control and proprioceptive actuation experience
• 具备阻抗控制与本体感知执行的经验

Advantages加分项

• Experience in robotic or humanoid actuation or servo drive companies
• 具备机器人或人形机器人执行（如宇树、无穹的执行器团队）或伺服驱动公司（如步科、汇川）的经验
• Familiarity with harmonic gear systems and their control implications
• 熟悉谐波齿轮系统及其对控制的影响
• Python for scripting, system identification, and data analysis
• 使用 Python 进行脚本编写、系统辨识与数据分析
• Understanding of how sensor noise, latency, and actuation limits affect learned whole-body policies
• 理解传感器噪声、延迟与执行限制如何影响学习得到的全身控制策略
• Comfortable communicating technical topics in English with international teams
• 能够用英语与国际团队就技术话题进行交流

What will your job look like?

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

All you need is:

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

What will your job look like:

• Hands-on physical design block owner, 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
• Experience in developing or maintaining implementation tools and design flows – an advantage
• Experience with high-speed interfaces (DDR/PCIE) - an advantage.
• Experience with advanced nodes (5nm and below) - an advantage.

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.
• 2+ years of experience in the Physical Design field- MUST
• Proficiency in scripting languages (Tcl, Python, Perl, or tcsh).
• A team player with excellent communication skills and a “can-do” attitude
• Experience in developing or maintaining implementation tools and design flows – an advantage
• Experience with high-speed interfaces (DDR/PCIE) - an advantage.
• Experience with advanced nodes (5nm and below) - an advantage.

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.
• Experience with high speed interfaces (DDR/PCIE) - an advantage.
• Experience with advanced nodes (5nm and below) - an advantage.
• Team player with excellent communication skills, customer orientation, and a “can-do” attitude.
• Building or maintaining implementation tools and flow - an advantage.
• Experience in scripting languages like Tcl/Python/Perl/TCSH.

What will your job look like?

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

All you need is:

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

Who you are 期待中的你

• A deep RL practitioner who has actually transferred policies to physical legged robots - not only benchmarks
• 一位真正将策略迁移到实体足式机器人的深度强化学习实践者——而不仅停留在基准测试
• Strong engineer first: your training code is infrastructure, not a notebook
• 首先是一名出色的工程师：你的训练代码是基础设施，而非一个 notebook
• Comfortable being the owner of the robot's most visible capability
• 乐于成为机器人最显眼能力的负责人

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
• 在 Isaac Sim/Newton 中设计、训练并迭代全身强化学习策略：行走、平衡恢复、操作以及协调的移动-操作行为
• Own reward design, curriculum learning, and training methodology; incorporate motion priors (mocap/imitation, AMP-style) for natural movement
• 负责奖励设计、课程学习与训练方法论；引入运动先验（动作捕捉/模仿、AMP 式）以实现自然的动作
• Build and maintain the training infrastructure: massively parallel simulation, experiment tracking, evaluation suites
• 构建并维护训练基础设施：大规模并行仿真、实验跟踪、评估套件
• Work with the Sim2Real engineer to bake measured actuator constraints and domain randomization into training
• 与 Sim2Real 工程师协作，将实测的执行器约束与域随机化融入训练
• Work with the compute platform engineer to deploy policies on the robot and run on-hardware evaluation
• 与计算平台工程师协作，在机器人上部署策略并进行在机评估
• Progressively expand the policy's capability envelope - from first steps to dynamic, contact-rich whole-body tasks
• 逐步扩展策略的能力边界——从迈出第一步到动态、富接触的全身任务
• Define what the policy observes and commands together with motion control and platform teams - you co-own the robot's core software contract
• 与运动控制及平台团队一起定义策略所观测与指挥的内容——你将共同负责机器人核心的软件契约

Requirements任职要求

• M.Sc. or Ph.D. (or equivalent industry experience) in Computer Science, Robotics, or a related field
• 计算机科学、机器人或相关专业硕士或博士学位（或同等行业经验）
• 5+ years of hands-on deep RL for robotics with strong PyTorch engineering skills
• 5年以上面向机器人的深度强化学习实战经验，并具备扎实的 PyTorch 工程能力
• Direct experience with Isaac Sim/Newton (or equivalent GPU-parallel simulators) for whole-body RL on legged robots
• 具备直接使用 Isaac Sim/Newton（或同类 GPU 并行仿真器）在足式机器人上进行全身强化学习的经验
• Proven sim-to-real transfer of at least one policy to a physical legged robot
• 有将至少一项策略成功从仿真迁移到实体足式机器人的过往业绩
• Deep understanding of PPO-family training at scale, reward shaping, and curriculum design
• 深入理解大规模 PPO 系列训练、奖励塑形与课程设计

Advantages加分项

• Familiarity with IsaacLab
• 熟悉 IsaacLab
• Humanoid (vs. quadruped) whole-body RL experience
• 具备人形（相对于四足）全身强化学习经验
• Experience with motion-imitation methods (AMP, DeepMimic-style) and mocap data pipelines
• 具备运动模仿方法（AMP、DeepMimic 式）与动作捕捉数据流水线的经验
• Publications in top robotics/ML venues (RSS, CoRL, ICRA, NeurIPS) or experience at leading humanoid teams
• 在顶级机器人/机器学习会议（RSS、CoRL、ICRA、NeurIPS）发表论文，或曾在领先的人形机器人团队任职的经历
• Experience with teleoperation or demonstration data pipelines for whole-body skills
• 具备面向全身技能的遥操作或示教数据流水线的经验
• Comfortable communicating technical topics in English with international teams
• 能够用英语与国际团队就技术话题进行交流

Who you are?

• A builder-leader who still opens CAD, schematics, and code
• 一位仍会亲自打开 CAD、原理图与代码的实干型领导者
• A first-principles thinker who questions assumptions and iterates fast
• 一位以第一性原理思考、敢于质疑假设并快速迭代的人
• Comfortable making decisions with incomplete information and owning the consequences
• 能够在信息不完整的情况下做出决策并承担后果
• Experienced in taking a full humanoid or legged robot from concept to a walking machine
• 具备将完整的人形或足式机器人从概念推进到可行走整机的经验

Responsibilities:

• Own the full system architecture: DOF budget, torque/mass targets, kinematic layout, compute and power architecture
• 负责完整的系统架构：自由度（DOF）预算、扭矩/质量目标、运动学布局、计算与电源架构
• Act as the integration authority between hardware, embedded, control, simulation, and AI teams - own every cross-domain interface
• 作为硬件、嵌入式、控制、仿真与 AI 团队之间的集成决策者——负责每一个跨领域接口
• Define the roadmap and milestones (first joint, first leg on dyno, first stand, first steps) and drive the team to hit them
• 制定路线图与里程碑（首个关节、首条腿上测功机、首次站立、首次迈步），并推动团队按时达成
• Make build-vs-buy decisions for actuators, sensors, and compute together with the sourcing and actuation teams
• 与采购与执行器团队共同就执行器、传感器与计算单元做出自研与外购的决策
• Absorb program management: planning, prioritization, risk tracking, and reporting to leadership
• 承担项目管理职责：规划、优先级排序、风险跟踪以及向管理层汇报
• Set the engineering culture: fast iteration, rigorous documentation, and clean handoff of the platform to product teams
• 塑造工程文化：快速迭代、严谨的文档记录，以及向产品团队顺畅地交接平台
• Hire, mentor, and grow the team
• 招聘、指导并发展团队

Requirements:

• B.Sc. or M.Sc. in Mechanical, Electrical, or Robotics Engineering (or equivalent experience)
• 机械、电气或机器人工程专业学士或硕士学位（或同等经验）
• 8+ years in robotics, with a leading role in shipping at least one full humanoid or advanced legged platform
• 8 年以上机器人领域经验，并在至少一个完整人形或先进足式平台的交付中担任主导角色
• Deep cross-domain fluency: actuation, power electronics, real-time control, and learning-based whole-body control
• 在多领域具备深厚造诣：执行器、功率电子、实时控制以及基于学习的全身控制
• Proven ability to define system architecture and arbitrate trade-offs across disciplines
• 具备定义系统架构并在各学科之间裁决权衡的成熟能力
• Track record of leading small, senior teams through fast prototype cycles
• 拥有带领精干资深团队完成快速原型周期的过往业绩
• Fluent English and Mandarin; comfortable working with an international engineering organization
• 英语和普通话流利；能够适应国际化工程组织的工作

Advantages:

• Experience at a leading humanoid company in a system or platform role
• 曾在领先的人形机器人公司担任系统或平台岗位的经验
• Hands-on familiarity with RL-based whole-body control stacks (Isaac Sim / Newton)
• 熟悉并实际使用过基于强化学习的全身控制技术栈（Isaac Sim / Newton）
• Experience standing up a new site, lab, or team from scratch
• 具备从零搭建新场地、实验室或团队的经验

What will your job look like?

• Analyze the SW architecture and identify safety-critical areas, define the safety requirements and work closely with R&D teams to reach the best solutions
• Support the SW system architecture definition of the Mobileye automated driving system
• Define the safety requirements for high-level components of the Mobileye autonomous vehicle products including driving applications, image processing, memory management, error handling
• Act as a POC for R&D teams in terms of Safety and embed the “Safety culture”, train and guide “safety ambassadors” within the teams
• Proactively support Mobileye position with customers during business development activities and during the execution of production projects 

All you need is:

• B.Sc in electrical engineering, computer science or similar fields (M.Sc-anadvantage)
• 3-5 years experience in SW architecture - must 
• Experience in system architecture in the automotive industry – strong preference
• Familiarity with SW Safety standards and processes (A-SPICE, ISO 26262, ISO 21448)
• Experience with programming in C, C++
• Experience with computer vision
• Analytical and interpersonal skills

Who you are 期待中的你

• An actuator specialist first, a general mechanical engineer second
• 核心定位是执行器专业专家，通用机械结构设计为辅助能力
• A first-principles thinker who questions assumptions and iterates fast
• 擅长基于第一性原理思考，敢于质疑固有方案，快速迭代验证
• Hands-on in the lab: you build, instrument, and break your own designs
• 深度实验室实操能力：自主完成样机搭建、设备标定、破坏性测试验证自己的设计方案
• Comfortable with ambiguity and rapidly changing requirements
• 能够适应需求不明确、方案快速调整的研发环境

Responsibilities岗位职责

• Design high torque-density actuator modules for legs, waist, and arms: quasi-direct-drive architectures with planetary reduction - motor selection/specification, gear design, bearings, sealing, and packaging
• 针对机器人腿部、腰部、手臂开发高扭矩密度关节模组，采用准直驱+行星减速架构；全权负责电机选型定标、齿轮设计、轴承、密封与整机封装设计
• Own the torque, speed, thermal, and mass budgets per joint, aligned with the system DOF and mass targets
• 对标整机自由度、重量指标，把控单关节扭矩、转速、散热、重量预算
• Drive quasi-direct-drive vs. high-reduction trade-offs together with the motion control team
• 协同运动控制团队，完成准直驱方案与高减速比方案的性能取舍论证
• Integrate sensing into the joint: encoders, temperature, and torque estimation provisions
• 关节传感器集成设计：编码器、温度采集、扭矩观测方案布局
• Design the surrounding structure - limbs, torso frame, brackets - optimized for fast fabrication (machined plates, printed parts)
• 配套肢体、躯干框架、支架结构设计，适配机加工、3D打印等快速打样工艺
• Own designs from concept through fabrication: CAD, tolerance analysis, DFM for prototype quantities, and supplier follow-up
• 全权负责设计从概念到量产样机全流程：三维建模、公差分析、小批量样机可制造性设计、供应商对接跟进
• Run joint-level dyno and life testing with the V&V engineer; iterate based on data
• 联合测试验证工程师完成关节台架、耐久寿命测试，依据实测数据迭代优化方案
• Work daily with electrical and embedded teams on the motor controller integration
• 日常协同电气、嵌入式团队完成电机控制器集成匹配

Requirements任职要求

• B.Sc. or M.Sc. in Mechanical Engineering or Mechatronics
• 机械工程、机电一体化本科/硕士学历
• 8+ years designing electromechanical actuation systems: BLDC motors with planetary reduction, ideally in quasi-direct-drive (QDD) configurations
• 8年以上机电执行器系统开发经验，精通BLDC无刷电机+行星减速器方案，有准直驱（QDD）关节开发经验优先
• Deep understanding of motor physics: torque constants, saturation, thermal limits, and their impact on transmission choice
• 精通电机底层原理：扭矩常数、磁饱和、散热极限，可基于电机特性匹配传动方案
• Strong CAD skills (SolidWorks/NX/Creo) and proven concept-to-hardware track record
• 熟练使用SolidWorks/NX/Creo三维设计软件，具备完整从概念到实物落地的项目履历
• Experience with structural design, materials selection, and prototype fabrication methods
• 具备结构设计、材料选型、样机加工工艺相关经验
• Hands-on lab and test experience with rotating machinery
• 拥有旋转机械实验室实操、整机测试落地经验

Advantages加分项

• Experience designing humanoid or quadruped joint modules
• 人形机器人/四足机器人关节模组独立开发经验
• Experience with gear design and gear suppliers or custom motor winding specification
• 齿轮自主设计、齿轮供应商对接、定制电机绕组参数定义经验
• Deep experience with proprioceptive actuation and backdrivability optimization
• 本体力感知关节、反向驱动性能优化深度开发经验
• Thermal simulation and FEA experience
• 热仿真、有限元FEA分析实操经
• Comfortable communicating technical topics in English with international teams
• 可流利使用英文与国际化团队同步技术方案

What will your job look like:

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

All you need is:

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

What will your job look like?

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

All you need is:

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

What will your job look like:

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

All you need is:

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

What will your job look like:

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

All you need is:

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

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

What will your job look like:

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

All you need is:

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

• Architect and develop the Linux startup and service management framework optimized for embedded constraints. 

• Design and implement robust Over-the-Air (FOTA) software update mechanisms and fail-safe recovery systems. 

• Develop low-level userspace applications and daemons in C/C++ that interact directly with the kernel and hardware. 

• Optimize system boot time and resource utilization through deep analysis of the execution chain. 

• Own the system lifecycle, from the first instruction in userspace to a fully operational automotive safety system. 

• Perform root cause analysis on complex system-level crashes, memory leaks, and race conditions within the distribution. 

• Collaborate on board bring-up, ensuring the distribution is tailored to the specific requirements of new EyeQ generations.

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 programming - Must.
• Expert-level C/C++ programming skills and a deep understanding of POSIX APIs, multi-threading, and IPC. 
• Deep knowledge of Linux Internals, specifically the boot process (Bootloaders, Kernel hand-off, Init systems). 
• Hands-on experience with Embedded Linux Distributions (e.g., custom Yocto recipes, Buildroot, or Linux-from-scratch). 
• Experience with Software Update strategies (A/B partitioning, delta updates, atomic installs). 
• Proficiency in debugging tools like GDB, Valgrind, strace, and perf. 
• Experience with Python for rapid prototyping and automation. 
• Background in Automotive Software (ISO 26262, Adaptive AUTOSAR). 
• Knowledge of Security concepts (Secure Boot, DM-Verity, Trusted Execution Environments).
• Contributions to Open Source projects (Kernel, busybox, or system libraries).

What will your job look like:

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

All you need is:

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

What will your job look like:

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

All you need is:

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

What your job will look like:

• Develop and maintain backend and data-processing components in large-scale systems
• Design, implement, and optimize data pipelines and distributed processing flows
• Work with large-scale storage systems (e.g., S3) and high-volume data access patterns
• Optimize systems and code across multiple layers - from architecture to implementation
• Identify performance bottlenecks, debug complex issues, and drive root-cause solutions
• Work across teams and domains, reading, improving, and refactoring existing code
• Take part in technical design and decision-making, balancing performance, scalability, and maintainability

All you need is:

• 5+ years of experience in software development, with a strong backend and/or data focus
• Experience building backend services (APIs) and working with databases and storage systems
• Experience using AI as a core part of the development workflow
• Hands-on experience with large-scale data processing and distributed systems
• Experience with Spark / PySpark - a strong advantage
• Experience with Python or Node.js
• Strong understanding of performance optimization and system behavior (CPU, memory, concurrency)
• Proven debugging skills and ability to move from symptoms to root cause
• A strong can-do approach - proactive, hands-on, and not afraid to dive into complex systems

What your job will look like:

• Develop and maintain backend and data-processing components in large-scale systems
• Design, implement, and optimize data pipelines and distributed processing flows
• Work with large-scale storage systems (e.g., S3) and high-volume data access patterns
• Optimize systems and code across multiple layers - from architecture to implementation
• Identify performance bottlenecks, debug complex issues, and drive root-cause solutions
• Work across teams and domains, reading, improving, and refactoring existing code
• Take part in technical design and decision-making, balancing performance, scalability, and maintainability

All you need is:

• 4+ years of experience in software development, with a strong backend and/or infrastructure focus
• Experience building backend services (APIs) and working with databases and storage systems
• Experience using AI as a core part of the development workflow
• Hands-on experience with large-scale data processing and distributed systems
• Experience with Spark / PySpark - a strong advantage
• Experience with Python or Node.js
• Strong understanding of performance optimization and system behavior (CPU, memory, concurrency)
• Proven debugging skills and ability to move from symptoms to root cause
• A strong can-do approach - proactive, hands-on, and not afraid to dive into complex systems

What Will your Job Look Like?

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

All you need is:

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

What Will your Job Look Like?

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

All you need is:

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

What Will your Job Look Like?

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

All you need is:

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

What will your job look like:

• Design, build, and write the underlying code for large-scale systems handling diverse data from multiple sources
• Build and maintain robust data pipelines that enable algorithmic development
• Evaluate various optional technologies and take part in decision-making
• Own key features and services within the data infrastructure
• Ensure data quality and accessibility for detection models and research needs 

All you need is:

• BSc. in Computer Science or equivalent - must 
• 4+ years of software development experience
• Proven ability to write high-quality, production-grade Python code (understanding of OOP, modularity, and system design)
• Deep understanding of complex data structures, massive ETL processes, and data workflows
• Experience with databases (SQL/NoSQL) 
• Experience with modern Data Lakehouse architectures and table formats (e.g., Apache Iceberg, Parquet)
• A solid understanding of Machine Learning (ML) concepts and principles
• Experience integrating and utilizing ML models within data workflows and production pipelines
• Familiarity with MLOps practices or working alongside algorithm and research teams 

Who you are 期待中的你

• A systems software engineer who thinks in latency budgets and memory copies
• 一位以延迟预算与内存拷贝来思考的系统软件工程师
• Equally comfortable in CUDA/TensorRT and in a CAN bus trace
• 在 CUDA/TensorRT 与 CAN 总线抓包之间都游刃有余
• You take full ownership from kernel configuration to inference output
• 从内核配置到推理输出，你都全权负责

Responsibilities岗位职责

• Own the onboard software platform on NVIDIA Jetson: Real-Time Linux configuration, scheduling, and performance tuning
• 负责 NVIDIA Jetson 硬件上的软件平台：实时 Linux 配置、调度与性能调优
• Deploy and optimize neural network policies for real-time inference: TensorRT, quantization, zero-copy data paths, strict latency budgets
• 部署并优化用于实时推理的神经网络策略：TensorRT、量化、零拷贝数据通路、严格的延迟预算
• Implement and maintain the EtherCAT/CAN master and the joint-level communication with the Motor Controller PCBs
• 实现并维护 EtherCAT/CAN 主站，以及与电机控制器 PCB 的关节级通信
• Integrate sensors: IMU drivers, filtering and time synchronization, cameras and additional sensing as needed
• 集成传感器：IMU 驱动、滤波与时间同步、相机以及按需的其他传感
• Build the middleware that moves observations and actions between the bus and the policy at loop rate, deterministically
• 构建中间件，以控制环频率在总线与策略之间确定性地传递观测与动作
• Develop logging, replay, and introspection tooling for the whole robot software stack
• 为整个机器人软件栈开发日志记录、回放与内省工具
• Work daily with the RL and Sim2Real engineers on the deployment pipeline, and with embedded on the bus API
• 每天与强化学习及 Sim2Real 工程师协作部署流水线，并与嵌入式团队协作总线 API

Requirements任职要求

• B.Sc. in Computer Science, Engineering, or a related field
• 计算机科学、工程或相关专业学士学位
• 8+ years of software engineering with heavy C/C++ focus; deep understanding of modern C++, memory management, and parallelism
• 8年以上以 C/C++ 为主的软件工程经验；深入理解现代 C++、内存管理与并行计算
• Extensive experience developing and debugging in embedded Linux environments; real-time or low-latency systems experience
• 具备在嵌入式 Linux 环境中开发与调试的丰富经验；具备实时或低延迟系统经验
• Hands-on experience deploying neural networks on edge platforms (NVIDIA Jetson, TensorRT or equivalent)
• 具备在边缘平台（NVIDIA Jetson、TensorRT 或同类）上部署神经网络的动手经验
• Knowledge of embedded communication protocols: EtherCAT, CAN, SPI, I2C
• 了解嵌入式通信协议：EtherCAT、CAN、SPI、I2C
• Production-grade Python for tooling and pipelines
• 能编写生产级 Python 用于工具与流水线
• Experience with PREEMPT_RT kernels and real-time performance monitoring
• 具备 PREEMPT_RT 内核与实时性能监控的经验

Advantages加分项

• Experience with GPU-accelerated services using zero-copy mechanisms to minimize data transfer latency
• 具备利用零拷贝机制构建 GPU 加速服务以最小化数据传输延迟的经验
• ROS 2 experience
• 具备 ROS 2 经验
• Background in autonomous driving or edge-AI platforms
• 具备自动驾驶或边缘 AI 平台背景
• Comfortable communicating technical topics in English with international teams
• 能够用英语与国际团队就技术话题进行交流

What will your job look like?

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

All you need is:

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

What will your job look like?

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

All you need is:

• B.Sc. in Electrical Engineering, Systems Engineering, or a related field. M.Sc - advantage
• 5+ years of experience in system architecture of complex multi-disciplinary systems or chip architecture
• Proven experience in defining high level system requirements and translating them to lower level specifications for software\VLSI teams
• Strong verbal and written communication skills
• Experience with automotive or radar domain, security, ISO 26262, ASPICE, or other automotive standards - advantage
• Background in ADAS or autonomous driving systems - advantage

What will your job look like? 

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

All you need is: 

• B.Sc. in Electrical Engineering / Computer Engineering / Computer Science (M.Sc. – advantage)
• 5+ years of Experience in System Architecture with strong knowledge in writing embedded system and software requirements 
• Strong understanding of ECU architecture: MCUs/SoCs, memory, power, networking (CAN/CAN FD, Automotive Ethernet), diagnostics (UDS), boot and update flows
• Experience supporting OEM/Tier 1 technical reviews, assessments, and audits with structured evidence packages
• Excellent communication and stakeholder management skills; ability to lead without authority across R&D, suppliers, and customers
• Familiarity with System methodologies: Including customer requirements elicitation, analysis, specification, validation, and traceability 
• Experience with Autosar Classic/Adaptive and related tooling/ecosystems - advantage
• Experience with requirements and traceability tools (e.g., DOORS/ Polarion) and with structured review processes and documentation  - advantage
• Knowledge of automotive standards and safety mindset (ASPICE, ISO 26262) - advantage

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.
• 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 taking products from development through production.
• Excellent communication skills in Hebrew and English.
• Experience with both air- and liquid-cooling solutions.
• Advanced PCB/package thermal modeling experience.
• Experience with thermal-mechanical reliability analyses.
• Experience working with Tier-1/OEM customers.
• Experience with automotive products, ECUs, or autonomous driving systems.

Who you are 期待中的你

• A physics-minded engineer who treats simulation fidelity as an engineering discipline, not an afterthought
• 一位具备物理思维的工程师，将仿真保真度视为一门工程学科，而非事后补救
• Rigorous about system identification - you fit models to measured data
• 对系统辨识严谨认真——你用实测数据拟合模型
• A natural bridge between the hardware lab and the training cluster
• 在硬件实验室与训练集群之间天然的桥梁

Responsibilities岗位职责

• Build and maintain the robot's digital twin (URDF/MJCF/USD) directly from the team's CAD, tracking every hardware revision
• 直接基于团队的 CAD 构建并维护机器人的数字孪生（URDF/MJCF/USD），跟踪每一次硬件改版
• Model actuators from real dyno data: torque-speed envelopes, friction, backlash, latency, and thermal limits - so trained policies never demand what hardware cannot deliver
• 依据真实测功机数据为执行器建模：扭矩-转速包络、摩擦、回差、延迟与热极限——使训练得到的策略绝不会要求硬件无法提供的能力
• Run system identification campaigns against the physical robot together with motion control and V&V
• 与运动控制及验证团队（V&V）一起，针对实体机器人开展系统辨识工作
• Design domain randomization strategies and simulation environments in Isaac Sim with the Newton physics engine, together with the RL engineer
• 与强化学习工程师一起，在使用 Newton 物理引擎的 Isaac Sim 中设计域随机化策略与仿真环境
• Own the sim-to-hardware deployment pipeline together with the compute platform engineer: export, validation, and on-robot evaluation protocols
• 与计算平台工程师一起负责从仿真到硬件的部署流水线：导出、验证以及在机评估流程
• Quantify and continuously reduce the sim-to-real gap with defined metrics
• 用明确的指标量化并持续缩小仿真与现实之间的差距
• Generate synthetic data and scenario suites for training and regression testing
• 生成用于训练与回归测试的合成数据与场景集

Requirements任职要求

• M.Sc. (or equivalent experience) in Robotics, Mechanical/Electrical Engineering, or Computer Science
• 机器人、机械/电气工程或计算机科学专业硕士学位（或同等经验）
• 4+ years with physics simulation for robotics: Isaac Sim/Newton, MuJoCo, or equivalent
• 4 年以上面向机器人的物理仿真经验：Isaac Sim/Newton、MuJoCo 或同类工具
• Strong Python; solid grasp of rigid-body dynamics, contact modeling, and actuator dynamics
• 扎实的 Python 能力；牢固掌握刚体动力学、接触建模与执行器动力学
• Hands-on system identification experience against physical hardware
• 具备针对实体硬件进行系统辨识的动手经验
• Experience supporting RL policy transfer to real robots (domain randomization, dynamics randomization, actuator modeling)
• 具备支持强化学习策略迁移到真实机器人的经验（域随机化、动力学随机化、执行器建模）

Advantages加分项

• Sim2Real work on legged or humanoid robots
• 在足式或人形机器人上从事 Sim2Real 工作的经验
• Experience with USD pipelines and CAD-to-sim automation
• 具备 USD 流水线与 CAD 到仿真自动化的经验
• Familiarity with Motor Operating Region style actuator-constraint modeling in training
• 熟悉训练中以电机工作区（Motor Operating Region）方式进行的执行器约束建模
• C++ for high-performance simulation components
• 使用 C++ 编写高性能仿真组件
• Comfortable communicating technical topics in English with international teams
• 能够用英语与国际团队就技术话题进行交流

What will your job look like:

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

All you need is:

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

Nice to have:

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

What will your job look like?

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

All you need is:

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

What will your job look like?

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

All you need is:

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

What will your job look like?

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

All you need is:

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

What will your job look like:

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

All you need is:

• Proven experience owning complex technical processes or systems end-to-end
• Strong background in validation, system engineering, or complex product development
• Ability to operate independently in ambiguous environments and define structure where none exists
• Excellent analytical skills and deep understanding of system behavior
• Background in autonomous systems, sensing technologies, or similar complex domains — Advantage
• Hands-on technical experience (software, algorithms, or systems) — Advantage
• B.Sc. in Computer Science, Electrical Engineering, Biology or related field
• Fluent in English and Hebrew

What will you do?

• The field engineer will work alongside the development teams of a leading international automotive company.
• The field engineer will Be the liaison between Mobileye and the customer and hold a key role in Mobileye's development projects providing the customer with direct technical support.
• As such, the field engineer will have an influence on the design and application of advanced vision based semi-autonomous driving systems, eventually installed in millions of cars worldwide

What will your job look like?

• Ability to understand operate and debug the entire Mobileye system and solve the customer problems.
• Installing various Mobileye evaluation systems on prototype vehicles: mechanical assembly, electrical connections, network configuration, operating systems, version deployments etc.
• Debugging multidisciplinary system failures.
• Performing and supervising test drives on an open road and test tracks
• The position includes office work, support at vehicle production lines and integration facilities.
• Tasks also include long test drives and travel to additional local cities and abroad projects from time to time.
• Close collaboration with the AV development, validation, and algorithm teams
• Testing and validating end-to-end AV functionality and provide expert reports.
• Representing the company in customer demonstrations

All you need is

• B.Sc. in Electrical engineering /exact science or similar field
• Valid driving license and Advanced driving courses (for test vehicles)
• Linux experience
• 2+ years of experience in customer facing roles (support / field engineer or similar)
• Various "Hands On" experience with installation (e.g. assembling, wiring, soldering)
• Experience with configuring/troubleshooting computers, Operating-Systems, protocol-based devices.
• Testing tools Experience: OBD2, Multi-meter (Fluke), Scope, Battery Analyzer, Sniffers etc.
• Excellent hardware and software systems understanding & problem-solving.
• Willingness to work in a dynamic environment.
• Independent, self-disciplined, and self-contained
• Highly motivated and self-management skills
• Great interpersonal skills, customer facing.
• Fluent German and English skills both verbal and writing
• Regular travels to Israel & Germany (Munich) for educational and training purposes
• Abroad travels to support remote projects (3-4 times per year)

What will your job look like:

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

All you need is:

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

What will your job look like:

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

All you need is:

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

What will your job look like:

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

All you need is:

• B.Sc. in Electrical Engineering, Electronics Engineering, Communication Systems / Telecommunications Engineering, or equivalent.
• 1-3 years of experience in validation, verification, or QA engineering.
• Proven experience with embedded systems testing.
• Experience working with communication protocols and basic networking concepts (e.g., data flows, interfaces, protocol behavior).
• Hands-on experience with Linux-based systems.
• Experience in test infrastructure, lab environments, and test setups.
• Strong analytical, debugging, and problem-solving skills.
• Strong teamwork abilities and excellent interpersonal communication skills.
• Familiarity with defect tracking and validation tools (e.g., Jira) -an advantage.
• Fluent in English and Hebrew.

What will your job look like?

• Lead integrations of new features with our System, Software and Algo groups.
• Develop tools to help us shine – it can be GUI tools, Simulators, data validity tools etc. – anything needed to help us win.
• Work closely and Collaborate with our R&D team to understand customer needs and translate them into technical solutions.
• Collaborate with customers throughout the development cycle, from initial concept and feasibility studies to product integration and deployment, including on-site technical support and demonstrations

All you need is:

• BSc in Electrical Engineering / Computer Engineering or similar
• Wide system integration view including integrations of different sensors
• Programming: Python – 2 years of experience. MATLAB - advantage
• High analytical and problem-solving skills
• Experience with integration with Tier1 Automotive industry manufactures - advantage
• Familiar with different operating systems (Linux, Windows)
• Strong interpersonal, communication and presentation skills, excellent English verbal & writing skills
• Strong sense of accountability and quality
• Familiar with RF products, especially cars radars - advantage
• Ability to work independently as well as part of a team.
• Ability to work in a multi-tasked and dynamic environment.
• Knowledge of communication Buses and protocols like CAN, CANFD, ETH, SOMEIP and Vector debugging tools - advantage

Who you are?

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

Responsibilities:

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

Requirements:

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

Advantages:

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

What will your job look like:

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

All you need is:

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

What will your job look like:

• Act as a technical product owner and expert, for productizing and driving Mobileye's AV Perception functions to meet performance and quality goals. 

• Collaborate with internal stakeholders (Algorithmic developers, Validation teams, other Product Managers and Business Development) and external partners, to define the product roadmap, ensuring alignment with Mobileye's strategy and timelines. 

• Own the process of requirements elicitation to capture stakeholder needs and translate them into actionable and measurable product specifications. 

• Define and monitor data-driven performance KPIs to ensure product excellence. 

• Develop and maintain accurate, comprehensive documentation for internal and external use. 

• Support Business Development during pre-sale processes and customer onboarding. 

• Partner with industry-leading car manufacturers, including workshops, test drives, and product tuning to ensure adoption and satisfaction. 

• Champion cross-functional collaboration, managing initiatives in a matrix environment to ensure successful execution. 

All you need is:

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

What will your job look like?

• Ability to understand the entire Mobileye system and solve the customer problems
• Installing various Mobileye systems on evaluation and development vehicles
• Performing and supervising test drives on an open road and test tracks
• Testing performance and quality of the vision system and other sensor
• Supporting system integration efforts with deep "bits and bytes" understanding of the entire system
• Providing expert support and training for the engineering teams on site
• The position includes office work, support at vehicle production lines and integration facilities
• Tasks also include long test drives and travel to additional countries
• Drive the AV in both automated and manual mode on open roads and test tracks
• Inspecting and maintaining any malfunctions in the test vehicle
• Gather information and upload it to the database
• Support new systems installation in the vehicle
• Testing and validating end-to-end AV functionality
• Close collaboration with the AV development, validation and algorithm teams
• Providing expert AV test reports
• Representing the company in customer demonstrations

All you need is:

• Fluent in English
• Advanced driving courses (for test vehicles)
• B.Sc. in Electrical engineering /exact science or similar field
• Valid driving license
• 3+ years of experience in customer facing roles (support / field engineer or similar)
• Experience in technical hands on roles
• Background in hardware or software testing - an advantage.
• Willingness to work in a dynamic environment
• Independent, self-disciplined, and self-contained
• Highly motivated and self-management skills
• Great interpersonal skills, customer facing

What will your job look like:

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

All you need is:

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

What will your job look like?

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

All you need is:

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

Nice to have:

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

What will your job look like?

• Analyze the SW architecture and identify safety-critical areas, define the safety requirements and work closely with R&D teams to reach the best solutions
• Support the SW system architecture definition of the Mobileye automated driving system
• Define the safety requirements for high-level components of the Mobileye autonomous vehicle products including driving applications, image processing, memory management, error handling
• Act as a POC for R&D teams in terms of Safety and embed the “Safety culture”, train and guide “safety ambassadors” within the teams
• Proactively support Mobileye position with customers during business development activities and during the execution of production projects 

All you need is:

• B.Sc in electrical engineering, computer science or similar fields (M.Sc-anadvantage)
• 3-5 years experience in SW architecture - must 
• Experience in system architecture in the automotive industry – strong preference
• Familiarity with SW Safety standards and processes (A-SPICE, ISO 26262, ISO 21448)
• Experience with programming in C, C++
• Experience with computer vision
• Analytical and interpersonal skills
• **option to work remotely**

What will your job look like:

• Act as a technical authority and subject‑matter expert for Mobileye Driving Functions, ADAS, and AV solutions in front of customers.
• Own the end‑to‑end technical engagement with customers, including system understanding, issue analysis, solution definition, and follow‑up.
• Work closely with algorithmic engineering, product, R&D, and program teams to drive customer issue investigation and resolution.
• Gather, analyze, and translate customer feedback and real‑world insights into clear technical requirements and product inputs.
• Lead and support software version integration, validation, and delivery to customers, ensuring alignment between Mobileye core capabilities and customer use cases.
• Take an active role in cross‑functional collaboration with Product, Sales, Marketing, and Engineering teams.
• Proactively contribute to process improvement and technical workflow optimization across teams.
• Work directly with leading OEMs through technical workshops, test drives, system tuning sessions, and on‑site support.
• Build and maintain long‑term, trusted technical relationships with customers.

All you need is:

• B.Sc. in Computer Science or a related engineering field.
• 3+ years of experience in a customer‑facing technical role (e.g., customer engineering, systems engineering, field engineering, solutions engineering).
• Strong ability and motivation to deep dive into complex algorithms, systems, and software behavior.
• Excellent problem‑solving, analytical, and organizational skills, with a strong sense of ownership.
• Proven ability to operate independently, take initiative, and collaborate across multiple teams.
• Excellent communication and stakeholder‑management skills.
• Fluent English and Hebrew.
• Passion for cars, AI, and the intersection between the two.
• Experience in software development or a strong understanding of the software development life cycle.
• Experience working with or managing products, programs, or complex technical systems.
• Background in ADAS, autonomous driving, computer vision, or large‑scale embedded systems.

What will your job look like:

• Lead end‑to‑end program planning and execution across multiple development teams within the Map Development organization.  
• Coordinate cross‑functional work between product management, algorithm, development, and validation teams to ensure alignment and smooth delivery.  
• Track program progress, risks, dependencies, and changes to ensure milestones are delivered on time and within scope.  
• Provide technical and operational leadership for complex development activities running in parallel.  
• Identify potential risks and proactively drive mitigation plans to maintain program momentum.  
• Prepare and present clear program status updates, insights, and recommendations to stakeholders and senior management.

All you need is:

• B.Sc. or M.Sc. in Computer Science or a related engineering field
• 10+ years of proven experience in software Product/Program engineering management – must
• Strong technical background in large-scale, complex machine-learning systems
• Excellent leadership, communication, and stakeholder management skills with proven ability to build strong and productive relationships
• Proficiency in program management methodologies and tools
• Ability to thrive in a fast-paced, dynamically changing environment

What will your job look like?

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

All you need is:

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

What will your Job look like?

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

All you need is:

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

• B.Sc. in Aerospace Engineering – Advantage.

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

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

What will your job look like:

• Manage a team of bookkeepers working specifically on supplier accounts and financial management processes.
• Collaborate with the accounting team to prepare and analyze financial reports.
• Ensure compliance with legal and tax requirements.
• Process accounts payable and receivable, manage invoices, and oversee tax payments.
• Reconcile banks and credit card statements.
• Handle fixed assets management and ensure accurate reporting.
• Work within a multi-currency system and procurement system.

All you need is:

• Certification in Bookkeeping (or equivalent certification in the field)
• 5+ years of bookkeeping experience - Must
• 2+ years in a managerial role overseeing bookkeeping teams - Must
• In-depth knowledge and experience in VAT law, including import duties and purchase taxes.
• Proficiency in withholding tax from suppliers both in Israel and abroad.
• Extensive experience in handling accrued and prepaid expenses.
• Knowledge in managing not deductible expenses.
• Ability to reconcile bank accounts and credit cards.
• Proven experience in working with procurement systems.
• Expertise in managing fixed assets.
• High-level proficiency in Excel.
• Experience with NetSuite (NS) accounting system.
• Good English language skills.
• Strong spatial vision and the ability to manage multiple projects simultaneously.

What will your job look like?

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

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

What will your job look like?

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

All you need is:

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

What will your job look like?

• Maintain, operate, and continuously evolve large-scale distributed infrastructure platforms serving thousands of Mobileye developers across hybrid environments, including Kubernetes, on-prem systems, and cloud-integrated services.
• Design, implement, and improve infrastructure automation, self-service capabilities, and operational tooling using modern DevOps practices, Infrastructure as Code, GitOps, and CI/CD methodologies.
• Investigate, isolate, and resolve complex infrastructure issues across Kubernetes, Linux, networking, storage, CI/CD, cloud, and on-prem environments, while driving root-cause analysis and long-term improvements.
• Collaborate with cross-functional teams to improve processes, developer experience, operational efficiency, and platform adoption.
• Contribute to a culture of ownership, continuous improvement, knowledge sharing, and proactive problem solving in a fast-paced engineering environment. 

All you need is:

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

• 1-2 years of work experience as a DevOps Engineer.

• Experience with containerization and orchestration technologies, particularly Kubernetes - advantage.

• System Linux capabilities.

• Proficiency in automation, scripting, and tool development (Python/bash - an advantage).

• Familiarity with MCP (Model Context Protocol) tool experience in designing, extending, or integrating MCP-based workflows - a significant advantage.

• Background in building or integrating AI agents into developer workflows or infrastructure automation pipelines - an advantage.

• Highly motivated to improve processes with an innovative and out-of-the-box perspective.

What will your job look like:

• Using digital systems to monitor and control security & safety systems: CCTV, Intrusion detection, Fire alarm systems, Elevators, and more…
• Track CCTV displays on wall to wall security monitors, and access control systems
• Incident response and notification to relevant teams
• Company incident and ticket system management.  Including opening and directing tickets to the correct teams and tracking through closure.
• Answer internal and external service calls
• Cooperative work with operations teams and support them in various general tasks

All you need is:

• Available for shift work 24/7, including night shifts, weekends and holidays
• Minimum 3 shifts per week
• Experience in a digital work environment
• Prior work in an operations or military/security command center – An advantage
• Practiced in multitasking and working under pressure
• Ability to express yourself in both Hebrew and English
• Strong work ethic and sense of personal responsibility
• Service oriented and strong interpersonal skills
• Completed military or national service

Who you are 期待中的你

• Technical sourcing expert with an engineering background and extensive experience in supplier development and procurement.
• 具备工程背景的技术寻源专家，在供应商开发与采购方面拥有丰富经验。
• Pragmatic and fast - you know when a Taobao part is good enough and when it is not
• 务实且高效——你清楚何时淘宝上的零件足以胜任，何时则不行
• Quality-minded: you catch supplier problems before they reach the robot
• 具备质量意识：你能在供应商问题影响到机器人之前就将其发现

Responsibilities:

• Own supplier identification, evaluation, and management for all robot components: motors, reducers, bearings, encoders, PCBs, harnesses, machined and printed parts
• 负责所有机器人部件的供应商识别、评估与管理：电机、减速器、轴承、编码器、PCB、线束、机加工件与打印件
• Run fast-turn procurement for the lab, including expedited fabrication of custom mechanical and electronic parts
• 为实验室运行快速周转的采购，包括加急制造定制机械与电子零件
• Establish quality oversight: incoming inspection criteria, supplier audits, and corrective-action loops
• 建立质量管控：来料检验标准、供应商审核以及纠正措施闭环
• Manage production planning and coordination with manufacturing partners for small-batch builds
• 管理小批量生产的计划安排，并与制造合作伙伴协调
• Negotiate pricing, lead times, and IP/NDA terms with suppliers
• 与供应商就价格、交期以及知识产权/保密协议条款进行谈判
• Track BOM cost and availability; flag supply risks to the program early
• 跟踪 BOM 成本与可获得性；尽早向项目预警供应风险
• Support logistics and export processes for global shipments
• 支持面向全球出货的物流与出口流程

Requirements:

• 8+ years in sourcing/supply chain for robotics, automation, drones, automotive, or consumer electronics in China
• 8年以上面向机器人、自动化、无人机、汽车或消费电子行业（中国）的采购/供应链经验
• Working knowledge of mechanical and electronic components - able to read drawings and specs and talk credibly with engineers and suppliers
• 了解机械与电子元器件——能够读懂图纸与规格，并与工程师及供应商进行专业可信的沟通
• Demonstrated experience with fast prototype procurement, not only mass-production sourcing
• 具备快速原型采购的实际经验，而不仅是量产寻源
• Strong negotiation skills and supplier network in motors, gears, and PCB/PCBA
• 在电机、齿轮以及 PCB/PCBA 领域具备出色的谈判能力与供应商网络
• Fluent English and fluent Mandarin
• 英语和普通话流利

Advantages加分项

• Existing relationships with actuator-chain suppliers
• 已与执行器供应链供应商建立联系（如双环、步科、谐波/行星齿轮制造商）
• Experience supporting an R&D site of a foreign company
• 具备支持外资公司研发基地的经验
• Familiarity with export compliance for robotics hardware
• 熟悉机器人硬件的出口合规要求