The search for your future starts here

What will your job look like?

• Act as single point of business & technical ownership for assigned OEM accounts, managing the relationship with the OEM on behalf of Mobileye
• Build, maintain, and expand long-term personal relationships at VP level and working level (e.g. VP ADAS/AD driving functions, VP ECU, system architects, function owners etc.)
• Own the business lifecycle of OEM engagements: Opportunity identification, RFIs / RFQs, Pricing strategy and value justification, Negotiation support, Program nomination and SOP follow-through    
• Drive revenue growth, design-wins, and platform commitments across ADAS and automated-driving portfolios.
• Lead technical and business discussions on: OEM platform architecture roadmap & alignment with Mobileye's roadmap, HW/SW products and features, Volume ramp up and lifecycle strategy
• Coordinate internal stakeholders (product, R&D, architecture, legal, finance) to present technical & business concepts to the customer, and close complex multi-year OEM deals.
• Translate OEM technical requirements into commercially viable solutions in collaboration and alignment with internal engineering teams.
• Provide continuous market feedback to Mobileye product and leadership teams to influence product roadmap and go-to-market strategy

All you need is:

• 8+ years in automotive OEM-facing roles, such as: Account Executive / Key Account Manager, Technical Sales / Business Development, OEM Program or Systems leadership with commercial exposure.
• Demonstrated personal network and working relationships within German (and global) automotive OEMs.
• Proven ability to engage both technical and executive stakeholders.
• Strong understanding of the following: ADAS / automated-driving systems, Vehicle E/E architectures, OEM sourcing and decision-making processes.
• Experience leading complex technical and business negotiations involving HW/SW solutions.
• Prior experience selling: ADAS, autonomous-driving, perception, or automotive semiconductor solutions - an advantage
• Familiarity with: OEM experience at mid-senior technical & business roles, Tier-1 / Tier-2 ecosystems, Automotive regulatory and safety frameworks - an advantage
• Technical understanding in computer vision, driving functions, semiconductors, or embedded SW - an advantage
• Fluency in German - an advantage

What Will Your Job Look Like

• Analyze the present and future landscape of the autonomous vehicle and mobility ecosystem, identifying key developments in technology, industry dynamics, and emerging players
• Identify high-value information from unconventional sources, including conversations, events, and informal market signals
• Translate fragmented or ambiguous inputs into concise, strategic briefs that inform decision-makers
• Build and maintain stakeholder and ecosystem maps to support internal initiatives and long-term planning
• Collaborate closely with product, strategy, and business teams to ensure intelligence is timely, relevant, and actionable

All You Need Is:

• At least 5 years of experience in an intelligence-focused role (military, government, consulting, or private sector), with a proven ability to collect, analyze, and communicate complex information
• Automotive or mobility industry knowledge is an advantage, but not required
• Passion for intelligence work, with strong investigative instincts and high attention to detail
• Strong interpersonal and communication skills, including the ability to interpret nuance, read between the lines, and present insights clearly and impactfully
• Ability to work independently and collaboratively in ambiguous, fast-changing environments
• High level of professionalism and discretion. Comfortable handling sensitive information and operating in high-trust settings
• Experience using large language models (LLMs) for research and synthesis is an advantage
• Excellent written and spoken English and Hebrew. Additional languages are a plus
• Willingness to travel occasionally (approximately once per month)

What Will Your Job Look Like?

• Analyze the present and future landscape of the autonomous vehicle and mobility ecosystem, identifying key developments in technology, industry dynamics, and emerging players
• Identify high-value information from unconventional sources, including conversations, events, and informal market signals
• Translate fragmented or ambiguous inputs into concise, strategic briefs that inform decision-makers
• Build and maintain stakeholder and ecosystem maps to support internal initiatives and long-term planning
• Collaborate closely with product, strategy, and business teams to ensure intelligence is timely, relevant, and actionable

All You Need Is:

• At least 5 years of experience in an intelligence-focused role (military, government, consulting, or private sector), with a proven ability to collect, analyze, and communicate complex information
• Automotive or mobility industry knowledge is an advantage, but not required
• Passion for intelligence work, with strong investigative instincts and high attention to detail
• Strong interpersonal and communication skills, including the ability to interpret nuance, read between the lines, and present insights clearly and impactfully
• Ability to work independently and collaboratively in ambiguous, fast-changing environments
• High level of professionalism and discretion. Comfortable handling sensitive information and operating in high-trust settings
• Experience using large language models (LLMs) for research and synthesis is an advantage
• Excellent written and spoken English and Hebrew. Additional languages are a plus
• Willingness to travel occasionally (approximately once per month)

What will your job look like:

• Lead local execution of L2++ ADAS programs including NOP, driving, and parking functions, translating system and product requirements into committed delivery plans with consistent on-time milestones and release performance.
• Serve as the primary local interface to the OEM customer, in close alignment with the global project team.
• Support program scope, timelines, dependencies, and risks across perception, sensor fusion, path planning, control algorithms, validation, and vehicle integration, ensuring high delivery predictability.
• Drive execution governance and support decision-making, ensuring clear ownership, rapid issue resolution, and minimal late-stage escalations impacting delivery or quality.
• Coordinate cross-functional and partner teams including internal engineering, sensor suppliers, contract manufacturers, and OEMs to ensure stable integration, validation readiness, and tight control of the critical path.
• Deliver India-ready L2++ solutions that address local traffic behavior, regulatory requirements, validation environments, localization, and cost targets without scope or schedule overruns.
• Own program health and quality, proactively removing bottlenecks to improve delivery velocity, first-time-right releases, validation pass rates, and overall KPI performance.

All you need is:

• More than 10 years of experience in technical roles, preferably in systems engineering and/or systems validation, with ADAS and AV expertise.
• More than 5 years of experience in project management, delivery ownership, and stakeholder management.
• B.Tech in Electronics, Electrical, Mechanical, or Computer Science. M.Tech or MBA are a strong advantage.
• PMP or SAFe Agile certification is a strong advantage.
• Fluent in English and Hindi, written and spoken. Fluency in Tamil is an advantage.
• Willingness to travel across India including Bangalore, Chennai, Pune, and Delhi.
• Experience working with Mobileye products is a strong advantage.

What will your job look like:

• Develop and optimize computer vision and deep learning algorithms to accelerate data generation and labeling workflows for autonomous driving
• Apply both classical computer vision techniques and modern deep learning methods to solve large-scale data challenges
• Collaborate closely with development and annotation teams to enhance automation and ensure high-quality data
• Own the entire lifecycle from prototyping to scalable deployment within internal pipelines and tools
• Develop tools to evaluate and analyze algorithm performance, robustness, and operational efficiency

All you need is:

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

What will your job look like:

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

All you need is:

• B.Sc. in Computer Science, Mathematics, Electrical Engineering, Physics, or a related field.
• 5+ years of experience working with large production codebases.
• 2+ years of experience developing scientific or data‑intensive applications in Python.
• Proven ability to solve complex problems.
• Advanced degree (M.Sc. or Ph.D.) - Preferred.
• Experience in statistical estimation - Preferred.

What will your job look like:

• Design, develop, and optimize algorithms for updating large‑scale map creation systems.
• Implement and maintain production‑level Python code within a complex, large codebase.
• Analyze large datasets and build scalable solutions using scientific and big‑data tools.
• Take algorithms from research and prototyping through production deployment.
• Continuously research and develop new algorithmic approaches to address emerging challenges.

All you need is:

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

What will your job look like:

• Research, design and develop innovative algorithmic solutions.
• Mathematical modeling and abstraction of real-life problems.
• Code design, implementation, and hands-on development.

All you need is:

• 5+ years of experience in algorithm development
• Outstanding MSc graduate in Computer Science, Computer Engineering, Mathematics, or Physics.
• PhD- advantage.
• Strong coding skills in C++ and Python.
• Outstanding mathematical capabilities
• Capable of self-learning scientific articles.

What will your job look like:

• Research, design and develop innovative algorithmic solutions.
• Mathematical modeling and abstraction of real-life problems.
• Code design, implementation, and hands-on development.

All you need is:

• 5+ years of experience in algorithm development
• Outstanding MSc graduate in Computer Science, Computer Engineering, Mathematics, or Physics.
• PhD- advantage.
• Strong coding skills in C++ and Python.
• Outstanding mathematical capabilities
• Capable of self-learning scientific articles.

What will your job look like:

• You will work on developing the next generation of Mobileye SoC for ADAS and AV.
• Be involved in deep understanding of the design at multiple levels: the micro-architecture, features and specification.
• Design and implement new proprietary IPs and system features.
• Integrate third parties and proprietary IPs in a multi-clock domain system on chip.
• Verification, synthesis, static timing analysis, and closure.
• Power and Area Optimizations.
• You will become familiar with design environment, flow, tools, methodologies and optimization methods
• Collaborate with cross-functional teams, including Product Definition, Verification, Software, and Physical design

All you need is:

• B.Sc. in Electrical Engineering/Computer Engineering.
• 3 years of experience as an ASIC/FPGA designer.
• Familiar with simulation tools/environments, verification methodologies.
• Experience with a full design cycle – RTL/Verification/Synthesis and timing closure/CDC/ Lint.
• Strong team player, solid interpersonal skills.
• Entrepreneurial can-do attitude, self-motivated, able to work independently.
• Scripting experience using several of the following: Python, Perl, TCL – Advantage.

What will your day look like:

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

All you need is:

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

Advantages:

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

What will your job look like?

• You will work directly with Mobileye's development teams on integration into the car manufacturer's system from a real-time, safety-critical system aspects.
• You will be responsible to provide quick and professional analysis and troubleshooting of advanced customer issues.
• Support new boards bring up : coding, integration, unit test and customer support..
• Integration with various embedded systems

All you need is:

• B.Sc in Electrical Engineering, Computer Science or equivalent – must.
• 5+ years of hands-on experience in of Embedded Linux\RTOS platforms.
• Strong proficiency with C\C++  – must.
• Solid understanding of SPI, NAND, I2C, and SDRAM - advantage
• Experience in Linux user space application development – advantage
• Knowledge of Git and GitLab with practical experience - advantage
• Experience in Python – advantage.
• Outstanding hardware/software debugging skills, using a full range of test equipment
• Understanding schematics, experience with logic analyzers, oscilloscopes, and JTAG  - advantage
• Fluent in English and Hebrew.

What will your job look like?

• You will work directly with Mobileye's development teams on integration into the car manufacturer's system from a real-time, safety-critical system aspects.
• You will be responsible to provide quick and professional analysis and troubleshooting of advanced customer issues.
• Support new boards bring up : coding, integration, unit test and customer support..
• Integration with various embedded systems

All you need is:

• B.Sc in Electrical Engineering, Computer Science or equivalent – must.
• 5+ years of hands-on experience in of Embedded Linux\RTOS platforms.
• Strong proficiency with C\C++  – must.
• Solid understanding of SPI, NAND, I2C, and SDRAM - advantage
• Experience in Linux user space application development – advantage
• Knowledge of Git and GitLab with practical experience - advantage
• Experience in Python – advantage.
• Outstanding hardware/software debugging skills, using a full range of test equipment
• Understanding schematics, experience with logic analyzers, oscilloscopes, and JTAG  - advantage
• Fluent in English and Hebrew.

What will your job look like?

• You will work directly with Mobileye's development teams on integration into the car manufacturer's system from a real-time, safety-critical system aspects.
• You will be responsible to provide quick and professional analysis and troubleshooting of advanced customer issues.
• Support new boards bring up : coding, integration, unit test and customer support..
• Integration with various embedded systems

All you need is:

• B.Sc in Electrical Engineering, Computer Science or equivalent – must.
• 5+ years of hands-on experience in of Embedded Linux\RTOS platforms.
• Strong proficiency with C\C++  – must.
• Solid understanding of SPI, NAND, I2C, and SDRAM - advantage
• Experience in Linux user space application development – advantage
• Knowledge of Git and GitLab with practical experience - advantage
• Experience in Python – advantage.
• Outstanding hardware/software debugging skills, using a full range of test equipment
• Understanding schematics, experience with logic analyzers, oscilloscopes, and JTAG  - advantage
• Fluent in English and Hebrew.

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:

• 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:

• Debug Real-Time oriented code, meeting high standards of memory and running-time requirements.
• Manage and control the integration branches (Gitlab).
• Support cross teams and cross organizations complex integration tasks.
• Oversee version validation, assign issues to owners, coordinate the resolution of code conflict

All you need is:

• Bachelor's degree in Computer Science, Software Engineering or equivalent degree with an interest in exact science or math.
• 2-3 years of experience in validation or integration.
• Knowledge of Git and GitLab with practical experience.
• Experience in a Linux environment.
• Knowledge of C/C++ with practical experience.
• Knowledge of Python with practical experience.
• Ability to work independently on parallel tasks and quickly learn new technologies and systems.
• Ability to work under pressure.

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?

• 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
• Good self-learning capabilities
• Strong team player
• 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:

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

All you need is:

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

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?

• 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:

• 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 will define the platform’s roadmap and drive cross‑org alignment on data infrastructure priorities.
• Translate requirements from Algo, Validation, and Analyst teams into clear and structured product specifications, including UX/UI and user flows.
• Own the product lifecycle - from discovery and design to implementation, rollout, monitoring, and iterative improvement.
• Conduct ongoing conversations with users to acquire a deep understanding of their needs and pain points.
• Support smooth releases and ensure platform adoption across the organization.
• Provide clear direction and smart prioritization, helping a highly capable and opinionated team stay focused and deliver exceptional results.

All you need is:

• Bachelor of science or equivalent experience.
• 4+ years of product management experience in a tech company.
• You have worked on a product for technical users such as ML researchers, validation engineers, and analyst teams.
• Partner with engineering on release planning and drive adoption and onboarding across user groups.
• Strong customer orientation and proven experience building products that meet customer needs and organizational goals.
• Ability to understand complex flows involving data operations, ML lifecycle, and validation.
• Ability to operate effectively in a dynamic environment with incomplete or ambiguous requirements, demonstrating a deep understanding of complex organizational dynamics.
• Advantages:
• Experience in code development or ML lifecycle
• Experience with Python, pandas, data frames
• Knowledge in Cloud compute, Containers and CI

What will your job look like?

• Be part of the team that responsible for the development of test content for the autonomous vehicle system and E2E flows.
• Develop automation tools.
• Develop, document, and maintain the test strategy and test scenarios.
• Debug and Solve complex SW issues.

All you need is:

• BSc in Computer Science / Electrical Engineering.
• Strong knowledge in Python - at least 2 years of experience.
• Knowledge in Linux/Windows environment - must.
• Experience in C/C++/Script language- advantage.
• CI/CD tools - Jenkins and GIT- advantage.
• Fluent in English.

What will your job look like?

• Be part of the team that responsible for the development of test content for the autonomous vehicle system and E2E flows.
• Develop automation tools.
• Develop, document, and maintain the test strategy and test scenarios.
• Debug and Solve complex SW issues.

All you need is:

• BSc in Computer Science / Electrical Engineering.
• Strong knowledge in Python - at least 2 years of experience.
• Knowledge in Linux/Windows environment - must.
• Experience in C/C++/Script language- advantage.
• CI/CD tools - Jenkins and GIT- advantage.
• Fluent in English.

What will your job look like

• Design, develop, and maintain cloud-based data pipelines capable of processing large datasets.
• Collaborate with algorithm teams to integrate and run their models within the pipelines.
• Manage pipeline dependencies and address performance, scalability, and reliability challenges.
• Continuously improve system architecture and adopt new technologies to solve technical issues.

All you need is:

• Bachelor's degree in Computer Science or a related field.
• 5+ years of backend development experience, with a focus on Python.
• Expertise in designing and developing infrastructure for high-performance and scalable data processing.
• Experience with backend frameworks (e.g., FastAPI, Django, Flask) and containerized services (e.g., Docker, Kubernetes).
• Hands-on experience with workflow orchestration tools like Argo and big data processing tools like Spark – an advantage.
• Familiarity with cloud services (AWS ECS, EMR, Athena, S3, SQS) – 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:

• 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:

• Lead a small, focused HLB algorithm validation team, driving innovation, automation, and the adoption of state-of-the-art and AI-based technologies.
• Build deep system understanding of the HLB product to enable thorough analysis, root-cause investigation, and continuous improvement.
• Define and evolve validation strategies, methodologies, test suites, and KPIs to ensure robust algorithm evaluation.
• Drive automation of workflows and data analysis, including development and integration of tools, scripts, and GenAI-based solutions.
• Collaborate closely with Algorithm, Product, and Data teams to enhance system understanding and validation approaches.
• Promote structured investigation, analytical thinking, and efficient ways of working within the team.

All you need is:

• 4–7 years of experience in data analysis, software development, or algorithm-related roles, with strong analytical and problem-solving skills.
• B.Sc. in Computer Science, Engineering, or a related field.
• Ability to investigate complex systems and analyze “black box” behavior to identify root causes.
• Experience improving workflows through automation, scripting, or tooling.
• Experience with machine learning / AI / computer vision systems - an advantage.
• Experience defining validation processes, test methodologies, or performance evaluation - an advantage.
• Experience leading or mentoring a small team, or strong potential to grow into a leadership role - an advantage.
• Strong communication skills and a proactive, ownership-driven mindset.

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 you job look like?

• You will work directly with integration and testing teams on construction and troubleshooting in complex systems and transfer them to other support teams if needed.
• You will be required to provide a quick and professional solution to problems that arise during the product's life. 
• You will have the opportunity to work at the forefront of accident prevention and autonomous driving systems, in cutting-edge technology and help develop systems from their initial stages until they get into vehicles.

All you need is:

• Electrical Engineering, Information Systems, or a related field student with at least 4 semesters left.
• Experience in computer HW and  SW lab work.
• Knowledge of windows and Linux environment .
• Strategic and systematic thinker with strong atte.ntion to detail.
• Proactive team player with a can-do attitude.
• Fast learner with strong problem-solving and goal-oriented mindset.
• Fluent in English.
  
  

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, 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.
• 2+ years of experience in the industry- 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 and develop novel learning-based algorithms for decision-making and planning in complex physical environments.
• Advance model architectures for long-horizon reasoning, multi-agent interaction, and uncertainty-aware prediction.
• Integrate deep learning components into structured planning pipelines with clear formal objectives and safety constraints.
• Formulate problems mathematically and derive principled learning objectives grounded in real-world system requirements.
• Lead research directions from conception to full-scale production.
• Develop using Python (PyTorch or similar frameworks) as well as C++/GPU/Cuda.

All you need is:

• M.Sc/Ph.D. in Computer Science, Electrical Engineering, Robotics, Machine Learning, Applied Mathematics, or a related field.
• Proven experience in machine learning and deep learning.
• Demonstrated ability to conduct independent research (publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, CoRL, etc. - advantage).
• Strong programming skills in Python; solid C++ experience - advantage.
• Experience in training large-scale models and working with real-world data.
• Intellectual curiosity, scientific ownership, and comfort operating in open-ended research environments.

What will your job look like:

• Design and develop novel learning-based algorithms for decision-making and planning in complex physical environments.
• Advance model architectures for long-horizon reasoning, multi-agent interaction, and uncertainty-aware prediction.
• Integrate deep learning components into structured planning pipelines with clear formal objectives and safety constraints.
• Formulate problems mathematically and derive principled learning objectives grounded in real-world system requirements.
• Lead research directions from conception to full-scale production.
• Develop using Python (PyTorch or similar frameworks) as well as C++/GPU/Cuda.

All you need is:

• M.Sc/Ph.D. in Computer Science, Electrical Engineering, Robotics, Machine Learning, Applied Mathematics, or a related field.
• Proven experience in machine learning and deep learning.
• Demonstrated ability to conduct independent research (publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, CoRL, etc. - advantage).
• Strong programming skills in Python; solid C++ experience - advantage.
• Experience in training large-scale models and working with real-world data.
• Intellectual curiosity, scientific ownership, and comfort operating in open-ended research environments.

What your job will look like:

• Own the product vision, strategy, and roadmap for key MECI platforms and capabilities
• Drive cross-organizational alignment on platform priorities, architectural evolution, and adoption strategy
• Translate needs from Algo developers, Validation teams, CI users, and Infrastructure stakeholders into clear product requirements, specifications, and user flows
• Lead the full product lifecycle — from discovery and problem definition, through design and implementation, to rollout, monitoring, and continuous improvement
• Maintain ongoing engagement with users to deeply understand workflows, pain points, operational constraints, and opportunities for improvement
• Partner closely with engineering leadership on prioritization, scope, and delivery, balancing short-term needs with long-term platform health
• Contribute to building a culture of collaboration, ownership, and sustainable development, with attention to developer well-being

All you need is:

• B.Sc. or equivalent practical experience
• 4+ years of Product Management experience in a technical or platform-focused environment
• Proven experience building products for technical users such as software engineers, algorithm developers, validation engineers, or infrastructure teams
• Strong ability to work closely with engineering on planning, execution, and delivery
• Excellent customer orientation and experience translating complex needs into scalable, usable solutions
• Ability to understand and reason about complex development workflows, build and test systems, and platform dependencies
• Comfort operating in a dynamic, ambiguous environment with multiple stakeholders and evolving requirements

Nice to have:

• Background in software engineering, DevOps, or infrastructure
• Experience with CI/CD systems, build pipelines, or large-scale testing frameworks
• Knowledge of compute orchestration, containers, and cloud or on-prem environments
• Experience working on internal developer platforms or productivity tools
• Exposure to AI-assisted development or data-driven tooling

What will your job look like?

• Design, build and optimize software modules that implement complex algorithms in real-time on embedded/DSP environment, with memory and bandwidth constraints  
• Work closely with algorithms teams to convert complex MATLAB code to efficient multi-processor 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
• Familiarity with MATLAB
• Experience in DSP programming (SIMD\Vectorization) and signal processing - advantage
• Curious, versatile, effective developer with a good understanding of systems as a whole

What will your job look like:

• Directly manage and mentor a team of RT systems integration and release engineers.
• Define, implement, and continuously improve the RT system integration and release management processes.
• Establish standard workflows, best practices, documentation, and quality gates.
• Ensure consistent execution of integration activities across projects.
• Drive alignment to integration processes across firmware, software, hardware, QA, and system validation teams.
• Identify integration risks early and implement mitigation strategies.
•  Lead system-level integration of real-time hardware and software.
• Manage system debugging, and root-cause analysis of complex integration issues.
• Oversee validation, verification, and system-level testing activities.
• Communicate progress, risks, and mitigation strategies to stakeholders and leadership.

All you need is:

• B.Sc. or higher in Computer Engineering or Computer Science.
• 5+ years of experience in embedded systems development and Integration.
• 3+ years of experience in a technical leadership or management role.
• Experience with real-time embedded systems and RTOS environments (e.g., FreeRTOS, VxWorks, QNX, RTLinux).
• Strong system-level debugging skills using tools such as GDB, core dumps.
• Proficiency in C/C++.
• Experience with version control, CI/CD, and integration workflows.
• Familiarity with low-level drivers and BSPs - Advantage.
• Experience with communication protocols (SPI, I2C, UART, CAN, Ethernet, USB)- Advantage.

What will your job look like:

• Directly manage and mentor a team of RT systems integration and release engineers.
• Define, implement, and continuously improve the RT system integration and release management processes.
• Establish standard workflows, best practices, documentation, and quality gates.
• Ensure consistent execution of integration activities across projects.
• Drive alignment to integration processes across firmware, software, hardware, QA, and system validation teams.
• Identify integration risks early and implement mitigation strategies.
•  Lead system-level integration of real-time hardware and software.
• Manage system debugging, and root-cause analysis of complex integration issues.
• Oversee validation, verification, and system-level testing activities.
• Communicate progress, risks, and mitigation strategies to stakeholders and leadership.

All you need is:

• B.Sc. or higher in Computer Engineering or Computer Science.
• 5+ years of experience in embedded systems development and Integration.
• 3+ years of experience in a technical leadership or management role.
• Experience with real-time embedded systems and RTOS environments (e.g., FreeRTOS, VxWorks, QNX, RTLinux).
• Strong system-level debugging skills using tools such as GDB, core dumps.
• Proficiency in C/C++.
• Experience with version control, CI/CD, and integration workflows.
• Familiarity with low-level drivers and BSPs - Advantage.
• Experience with communication protocols (SPI, I2C, UART, CAN, Ethernet, USB)- Advantage.

What will your job look like:

• Directly manage and mentor a team of RT systems integration and release engineers.
• Define, implement, and continuously improve the RT system integration and release management processes.
• Establish standard workflows, best practices, documentation, and quality gates.
• Ensure consistent execution of integration activities across projects.
• Drive alignment to integration processes across firmware, software, hardware, QA, and system validation teams.
• Identify integration risks early and implement mitigation strategies.
•  Lead system-level integration of real-time hardware and software.
• Manage system debugging, and root-cause analysis of complex integration issues.
• Oversee validation, verification, and system-level testing activities.
• Communicate progress, risks, and mitigation strategies to stakeholders and leadership.

All you need is:

• B.Sc. or higher in Computer Engineering or Computer Science.
• 5+ years of experience in embedded systems development and Integration.
• 3+ years of experience in a technical leadership or management role.
• Experience with real-time embedded systems and RTOS environments (e.g., FreeRTOS, VxWorks, QNX, RTLinux).
• Strong system-level debugging skills using tools such as GDB, core dumps.
• Proficiency in C/C++.
• Experience with version control, CI/CD, and integration workflows.
• Familiarity with low-level drivers and BSPs - Advantage.
• Experience with communication protocols (SPI, I2C, UART, CAN, Ethernet, USB)- Advantage.

What will your job look like:

• Develop and optimize Reinforcement Learning-based planning algorithms, including network architectures, reward design, and training processes.
• Apply RL to complex, interactive driving scenarios, complementing classical planning where deterministic approaches fall short.
• Work with large-scale simulation environments to enable learning through interaction and diverse policy behaviors.
• Prototype algorithms in Python and migrate performance-critical components to efficient C++ / GPU-accelerated implementations.
• Take part in fast, iterative development cycles, collaborating closely with the CTO and the team to validate ideas and demonstrate working solutions.

All you need is:

• M.Sc. in Computer Science, Electrical Engineering, or a related field (Ph.D. - advantage).
• 3+ years of hands-on industry experience in deep learning, with a strong background in designing and training neural networks.
• Experience with Reinforcement Learning (academic coursework, research, or practical application) - strong advantage.
• Strong programming skills in Python.
• Experience with C++ and/or CUDA or other performance-oriented programming - advantage.
• Proven ability to tackle complex, open-ended problems and work effectively in iterative, research-driven environments.

What will your job look like?

• Define HW and SW requirements for silicon BU.
• Be accountable for Pre silicon & HW readiness, BU phases and exit criteria, Setup, Automation, Analysis, and methodologies.
• Be accountable for Post silicon & HW Characterization, Analysis, and debug, generate detailed reports using AI tools
• Work closely with RFIC design and system architecture teams for optimal silicon performance .
• Deliver registers drop, calibration and flows to SW team

All you need is:

• Master/Bachelor in Electrical Engineering.
• 5+ Years of work experience in wireless\Radar systems.
• Solid RF background -knowledge in RF parameters measurements from BB to RF including DAC and ADC.
• Experienced in RF architectures, Post silicon activities including Silicon Bring Up, Characterization, Optimization and Calibration flows.
• Hands-on experience in Python, Matlab or similar programming- must.
• Familiar with AI tools such as Co-pilot, Curser AI and Claude code
• Experienced in Antenna and over-the-air testing - Advantage.
• Ability to lead task force for complex debug for efficient solution\mitigations and strong problem-solving skills.
• Strong interpersonal communications skills.
• Good verbal communication and technical writing skills in English.

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:

• BSc in Computer Science, Electrical Engineering, Mathematics or Physics.
• 5+ years of experience in algorithm development
• Hands-on experience with Python or C++
• Proven ability to solve complex problems
• Advanced degree (M.Sc. or Ph.D.)- an advantage

What will your job look like:

• Lead the design, simulation, and optimization of mmWave antennas for automotive radars operating in the 76–81 GHz band
• Architect and implement massive MIMO antenna arrays for high‑resolution radar systems
• Drive antenna integration with RF front‑end, transceiver ICs, and radar SoCs
• Perform electromagnetic simulations (HFSS and equivalent) and translate results into manufacturable designs
• Own antenna measurements, validation, and debugging (VNA and other radar test setups)
• Optimize antenna performance for range, angular resolution, sidelobe suppression, and mutual coupling
• Collaborate closely with RF, system, signal processing, packaging, and mechanical teams
• Mentor engineers and provide technical leadership on antenna‑related topics

All you need is:

• 15+  years of hands‑on experience in antenna design, with strong emphasis on mmWave systems
• Proven expertise in 76–81 GHz automotive radar antennas
• Deep knowledge of massive MIMO, phased arrays, beamforming, and array calibration
• Strong background in EM theory, microwave engineering, and RF propagation
• Extensive experience with antenna measurements and lab equipment
• Proficiency with EM simulation tools (HFSS, CST or similar)
• Experience designing antennas for high‑volume manufacturing
• MSc / PhD in Electrical Engineering, RF/Microwave Engineering, or related field
• Experience with ADAS or autonomous driving radar systems - Advantage
• Knowledge of radome effects, packaging constraints, and automotive materials - Advantage

What will your job look like:

• Design and develop scalable backend services, APIs, and data solutions in Python with a focus on performance, reliability, and maintainability.
•  Work closely with frontend developers, backend developers, data analysts, and experienced architects to build high-quality end-to-end products.
•  Improve existing architectures and deliver solutions used daily across the organization, directly supporting autonomous driving and vehicle safety technologies.

All you need is:

• Bachelor’s degree in Computer Science or an equivalent degree
• 3+ years of backend development experience
• Strong Python skills and experience with modern web frameworks such as FastAPI, Django, or Flask
• Experience designing and developing scalable backend services and APIs
• Hands-on experience with Kubernetes, containerized environments, and cloud-based architectures
• Experience working with databases, large-scale datasets, and data-driven applications
• Strong understanding of system design, performance, and scalability principles
• Proficiency in Linux-based environments
• Experience with BI, analytics, or data-visualization platforms
• Familiarity with AWS services and distributed data systems
• Experience building internal tools or web applications used by large-scale organizations

What your job will look like:

• Lead high-scale development projects using Python in a dynamic backend environment
• Design and implement microservices architectures, leveraging AWS services and multiple database technologies
• Write clean, modular, and maintainable code that meets high engineering standards
• Collaborate closely with algorithmic and software developers to integrate our services into their workflows
• Develop and maintain backend services and integrations with internal and third-party tools, enabling smooth and efficient development processes
• Work in an Agile environment as part of a scrum team
• See your work directly accelerate the development of autonomous vehicles used by all Mobileye developers

All you need is:

• 5+ years of hands-on software development experience
• B.Sc. in Computer Science, Software Engineering, or a related field
• Strong proficiency in Python
• Experience working in Linux environments and with Git
• Solid, practical experience with AWS and DevOps — including deployment automation, CI/CD, and cloud infrastructure management
• Hands-on experience with containerization and orchestration (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation)
• Practical experience building APIs and services with FastAPI, Flask, or similar Python frameworks
• Experience with relational and non-relational databases – PostgreSQL, MySQL, MongoDB, DynamoDB, etc.
• Agile / Scrum experience – actively contributing in a team-oriented workflow
• Experience implementing monitoring and observability systems (Prometheus, Grafana, ELK, CloudWatch)

Nice to have:

• Proven experience developing tools or services that support engineering workflows
• Background in distributed system design or large-scale backend architectures
• Exposure to integrating with internal and third-party services
• Event-driven architecture experience or message brokers (Kafka, RabbitMQ, SQS)
• Familiarity with multi-cloud or hybrid environments

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 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:

• Leading the development of high-performance applications using C++ and optimizing the existing codebase for efficiency and scalability
• Collaborating with multiple departments in Mobileye to acquire broad insights into algorithmic and technical details, ensuring seamless integration with the overall system
• Debugging real-time oriented code while adhering to high standards of memory management and running-time requirements
• Working closely with external algo teams and various departments in Mobileye for requirement gathering and the correct integration of new features
• Engaging with different environments in Mobileye's software stack, including backend and middleware, to ensure the smooth operation of the software infrastructure
• Opportunities to work on cutting-edge projects and technologies in the autonomous driving industry
• Exposure to advanced algorithms and use cases, showcasing your expertise to a wide audience
• Collaboration with a talented and passionate team of developers, algorithm engineers, and other professionals

All you need is:

• Bachelor's degree or Master's degree in Computer Science, Computer Engineering, or a similar field
• A minimum 4 years of proven experience as a C++ Developer, preferably in a senior or lead capacity
• In-depth proficiency in C++ programming language and strong knowledge of object-oriented design principles
• Demonstrated expertise in developing high-performance applications and optimizing code for efficiency
• Experience working with real-time systems and meeting stringent memory and running-time requirements
• Knowledge of software development methodologies and best practices
• Strong problem-solving and analytical skills
• Ability to work independently and collaboratively within a dynamic team environment
• Excellent communication skills to effectively interact with external teams and various departments

Advantages:

• Familiarity with vision domains will be highly beneficial
• Background in image processing
• Experience with Cloud services (AWS)
• Practical experience with version control & git submodules.
• Experience with Python 

What will your job look like?

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

All you need is:

• B.Sc. in Computer Science, Software Engineering, or equivalent.
• 5+ years of hands-on C++ development experience.
• Strong understanding of object-oriented design, software architecture, and large-scale system development.
• Experience working in Linux environments.
• Strong motivation to work close to deep learning algorithms and production AI systems.
• Interest in neural network deployment on edge devices, including inference runtimes, performance optimization, and model integration.
• A proactive, ownership-driven mindset, with interest in growing into a broader technical leadership role.
• Experience with performance optimization, memory efficiency, and real-time systems.
• Experience with ONNX Runtime, TensorRT, or similar inference runtimes.
• Familiarity with CI/CD processes and automated testing.
• Experience working closely with algorithm, computer vision, deep learning, or data teams.
• Background in computer vision, deep learning systems, or embedded/edge AI deployment.

What will your job look like?

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

All you need is:

• B.Sc. in Computer Science, Software Engineering, or equivalent.
• 5+ years of hands-on C++ development experience.
• Strong understanding of object-oriented design, software architecture, and large-scale system development.
• Experience working in Linux environments.
• Strong motivation to work close to deep learning algorithms and production AI systems.
• Interest in neural network deployment on edge devices, including inference runtimes, performance optimization, and model integration.
• A proactive, ownership-driven mindset, with interest in growing into a broader technical leadership role.
• Experience with performance optimization, memory efficiency, and real-time systems.
• Experience with ONNX Runtime, TensorRT, or similar inference runtimes.
• Familiarity with CI/CD processes and automated testing.
• Experience working closely with algorithm, computer vision, deep learning, or data teams.
• Background in computer vision, deep learning systems, or embedded/edge AI deployment.

What will your job look like?

• Lead the design and architecture of critical software components, writing well-thought-out, highly optimized C++ code.
• Apply advanced software design methodologies, strictly adhering to principles like SOLID and RAII to ensure robust, scalable, and maintainable systems.
• Develop a multi-threaded, multi-core system under a custom real-time operating system as well as embedded Linux.
• Leverage AI tools to accelerate research, optimize daily workflows, and elevate overall code quality.
• Gain a deep understanding of the underlying hardware architecture and end-to-end vision use cases.
• Collaborate closely with internal departments to gather requirements and ensure the flawless integration of new features.

All you need is:

• Bachelor's degree in Computer Science, Software Engineering, or related fields.
• 5+ years of hands-on experience in C/C++ programming.
• Exceptional software design and architecture skills, with a proven track record of applying modern C++ paradigms in mission-critical environments.
• Practical knowledge and experience using AI tools to enhance software development processes.
• Experience developing in a Linux operating system.
• Experience working on real-time operating systems or embedded systems.
• Strong understanding of computer architecture and performance tuning on different platforms.
• Experience with Real-Time OS and driver development – (Advantage).
• Experience in HW/SW integration and debugging activities on real HW - (Advantage).

What will your job look like?

• Lead the design and architecture of critical software components, writing well-thought-out, highly optimized C++ code.
• Apply advanced software design methodologies, strictly adhering to principles like SOLID and RAII to ensure robust, scalable, and maintainable systems.
• Develop a multi-threaded, multi-core system under a custom real-time operating system as well as embedded Linux.
• Leverage AI tools to accelerate research, optimize daily workflows, and elevate overall code quality.
• Gain a deep understanding of the underlying hardware architecture and end-to-end vision use cases.
• Collaborate closely with internal departments to gather requirements and ensure the flawless integration of new features.

All you need is:

• Bachelor's degree in Computer Science, Software Engineering, or related fields.
• 5+ years of hands-on experience in C/C++ programming.
• Exceptional software design and architecture skills, with a proven track record of applying modern C++ paradigms in mission-critical environments.
• Practical knowledge and experience using AI tools to enhance software development processes.
• Experience developing in a Linux operating system.
• Experience working on real-time operating systems or embedded systems.
• Strong understanding of computer architecture and performance tuning on different platforms.
• Experience with Real-Time OS and driver development – (Advantage).
• Experience in HW/SW integration and debugging activities on real HW - (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:

• 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:

• 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?

• Design, develop and implement deep learning algorithms to solve complex problems in computer vision 
• Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
• Collaborate with cross-functional teams to understand requirements and develop solutions.
• Analyze large datasets to improve algorithm performance and robustness.
• Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms

All you need is:

• M.Sc. in Computer Science, Electrical Engineering, Mathematics or Physics (Ph.D.- advantage)
• 5+ years of experience developing deep learning algorithms in Python, including end-to-end pipeline implementation (data preparation, training, validation, and analysis).
• Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch.

What will your job look like?

• Design, develop and implement deep learning algorithms to solve complex problems in computer vision 
• Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
• Collaborate with cross-functional teams to understand requirements and develop solutions.
• Analyze large datasets to improve algorithm performance and robustness.
• Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms

All you need is:

• M.Sc. in Computer Science, Electrical Engineering, Mathematics or Physics (Ph.D.- advantage)
• 5+ years of experience developing deep learning algorithms in Python, including end-to-end pipeline implementation (data preparation, training, validation, and analysis).
• Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch.

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:

• 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?

• Responsible for specifying the hardware for our autonomous driving systems
• Lead the HW design process: product specification, electrical schematics, component selection, layout, hands-on testing in a lab environment, verification, accompanying production and qualification processes
• Define Signal integrity simulations (LPDDR4, MIPI, FPD-link, etc.), perform power integrity (DC drop, PDN AC analysis) and analog simulations (like spice).
• Manage the technical interface with our customers to derive the product hardware requirements
• Work in collaboration with all the project disciplines: system architecture, mechanical and thermal, software (networking and algorithms), safety and reliability

All you need is:

• BSc Electrical/Electronic Engineering from a known institute
• At least 7 years hands-on experience in HW design and manufacturing of electronic products
• Proven experience in the full design cycle of a multi-disciplinary product including introduction to mass production
• Experience with complex embedded designs, switches, 100/1000/10G eth, ddr, pcie gen 4, can bus, mipi etc’
• Deep understanding of system level considerations 
• Customer facing experience
• Project management skills, organized and independent, excellent interpersonal skills, team player
• Experience with certification/standards design
• Fluent in English (spoken and written) 
• Experience in Automotive HW design - significant advantage 
• Experience with EMC/Power design – advantage  

What will your job look like?

• Responsible for specifying the hardware for our autonomous driving systems
• Lead the HW design process: product specification, electrical schematics, component selection, layout, hands-on testing in a lab environment, verification, accompanying production and qualification processes
• Define Signal integrity simulations (LPDDR4, MIPI, FPD-link, etc.), perform power integrity (DC drop, PDN AC analysis) and analog simulations (like spice).
• Manage the technical interface with our customers to derive the product hardware requirements
• Work in collaboration with all the project disciplines: system architecture, mechanical and thermal, software (networking and algorithms), safety and reliability

All you need is:

• BSc Electrical/Electronic Engineering from a known institute
• At least 7 years hands-on experience in HW design and manufacturing of electronic products
• Proven experience in the full design cycle of a multi-disciplinary product including introduction to mass production
• Experience with complex embedded designs, switches, 100/1000/10G eth, ddr, pcie gen 4, can bus, mipi etc’
• Deep understanding of system level considerations 
• Customer facing experience
• Project management skills, organized and independent, excellent interpersonal skills, team player
• Experience with certification/standards design
• Fluent in English (spoken and written) 
• Experience in Automotive HW design - significant advantage 
• Experience with EMC/Power design – advantage  

What will your job look like?

• Work closely with the design teams from early stages of the design process to review DFX architecture and define test requirements.
• Define test methodologies and generate test content for high-speed interfaces of embedded IP blocks (LPDDR4/5, PCIe Gen4/5, D/C/MPHY).
• Test program coding, pattern conversion and pre-Si validation (virtual test simulations)
• Support Load Board and Probe Card design activities.
• Lead post-Si test program debug activities to enable delivery of samples to internal and external customers.
• Test program characterization and tuning to enhance test program quality to meet automotive standards.
• Support Quality & Reliability team to enable effective and timely qual plan execution.
• Lead test deployment activities with tier-one Foundry and OSAT vendors to enable large-scale Wafer-Sort and Final-Test operations.

All you need is:

• BSc or MSc degree in Electrical Engineering.
• 7+ years of experience as IC Product/Test engineer.
• Hands on experience in bring-up & productization of complex IC products.
• Prior experience with Teradyne UltraFlex/UltraFlexPlus is - significant advantage.
• Deep understanding of structural DFT methods (scan, mbist, jtag, …).
• Proficiency in C/C++ and scripting language (Perl, Python, …) in Unix environment.
• Experience with data and yield analysis using known statistical methods and tools (e.g. JMP).
• Familiarity with Verilog and RTL behavioral simulations – an advantage
• Strong sense of ownership, commitment, and responsibility.
• Team player, with the ability to work in a rapidly evolving environment.
• Good interpersonal communication skills.

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 will your job look like?

• Working closely with hardware and mechanical design engineers, you'll perform PCB layout Mobileye's ECUs and other products. 
• Complete development of CAD layout from footprint definition, detailed component placement, constraints management, with a concept of topology and signal and power integrity.
• Be responsible for the design releases required generation of artwork files, ODB++, FAB drawings, ICT report, and electronic PCB documentation.
• Your designs will need to follow IPC class 3 , signal and power integrity constraints, EMI/RFI control and automotive regulations.

All you need is:

• B.Sc in Electronic Engineering or equivalent experience
• 5+ years experience in high-speed design
• Having a detailed knowledge of circuit design and consideration for layout, routing, and timing constraints, DFM, DFA, DFT constraints in volume manufacturing is needed for this role.
• Be an authority in using PCB design tools  (Mentor - a must , more tools - Advantage)
• Have a deep understanding of PCB Signal Integrity and Power integrity.
• Knowledge in PCB manufacturing processes for HDI, Standard Thru-Hole, and Back-drilling.
• Strong verbal and written communication skills in English 

What will your job look like?

• Working closely with hardware and mechanical design engineers, you'll perform PCB layout Mobileye's ECUs and other products. 
• Complete development of CAD layout from footprint definition, detailed component placement, constraints management, with a concept of topology and signal and power integrity.
• Be responsible for the design releases required generation of artwork files, ODB++, FAB drawings, ICT report, and electronic PCB documentation.
• Your designs will need to follow IPC class 3 , signal and power integrity constraints, EMI/RFI control and automotive regulations.

All you need is:

• B.Sc in Electronic Engineering or equivalent experience
• 5+ years experience in high-speed design
• Having a detailed knowledge of circuit design and consideration for layout, routing, and timing constraints, DFM, DFA, DFT constraints in volume manufacturing is needed for this role.
• Be an authority in using PCB design tools  (Mentor - a must , more tools - Advantage)
• Have a deep understanding of PCB Signal Integrity and Power integrity.
• Knowledge in PCB manufacturing processes for HDI, Standard Thru-Hole, and Back-drilling.
• Strong verbal and written communication skills in English 
• Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

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?

• Design, implement, and maintain CI infrastructure and automation tools to support scalable development.
• Work hands-on with technologies such as Jenkins, GitLab, Kubernetes, Python, Groovy, and Bash.
• Collaborate with multiple engineering teams to understand their CI/CD needs and provide high-quality solutions.
• Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
• Troubleshoot complex issues across infrastructure and code, and continuously drive innovation and process optimization.
• Help shape a structured, collaborative, and improvement-driven engineering culture.

All you need:

• BSc in Software Engineering, Computer Science, or a related field.
• 5+ years of experience in software development.
• Excellent control of CI tools – Jenkins, Gitlab /Github, Git, Repo, ks8 services.
• Excellent Python programming skills.
• Experience in Linux and bash scripts.
• Passion for problem-solving and debug capabilities
• Team player with strong communication skills, able to mentor others and lead technical discussions.
• Independent, proactive, and quick to learn, with a creative mindset for solving complex challenges.

What will your job look like?

• Design, implement, and maintain CI infrastructure and automation tools to support scalable development.
• Work hands-on with technologies such as Jenkins, GitLab, Kubernetes, Python, Groovy, and Bash.
• Collaborate with multiple engineering teams to understand their CI/CD needs and provide high-quality solutions.
• Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
• Troubleshoot complex issues across infrastructure and code, and continuously drive innovation and process optimization.
• Help shape a structured, collaborative, and improvement-driven engineering culture.

All you need:

• BSc in Software Engineering, Computer Science, or a related field.
• 5+ years of experience in software development.
• Excellent control of CI tools – Jenkins, Gitlab /Github, Git, Repo, ks8 services.
• Excellent Python programming skills.
• Experience in Linux and bash scripts.
• Passion for problem-solving and debug capabilities
• Team player with strong communication skills, able to mentor others and lead technical discussions.
• Independent, proactive, and quick to learn, with a creative mindset for solving complex challenges.

What will your job look like?

• Design, implement, and maintain CI infrastructure and automation tools to support scalable development.
• Work hands-on with technologies such as Jenkins, GitLab, Kubernetes, Python, Groovy, and Bash.
• Collaborate with multiple engineering teams to understand their CI/CD needs and provide high-quality solutions.
• Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
• Troubleshoot complex issues across infrastructure and code, and continuously drive innovation and process optimization.
• Help shape a structured, collaborative, and improvement-driven engineering culture.

All you need:

• BSc in Software Engineering, Computer Science, or a related field.
• 5+ years of experience in software development.
• Excellent control of CI tools – Jenkins, Gitlab /Github, Git, Repo, ks8 services.
• Excellent Python programming skills.
• Experience in Linux and bash scripts.
• Passion for problem-solving and debug capabilities
• Team player with strong communication skills, able to mentor others and lead technical discussions.
• 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?

• 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?

• 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?

• You will be Responsible for high-quality, end-to-end, validation / automation infrastructure & tools
• Work on data collection & offline processing SW tools to enable Automotive RADAR development.

All you need is:

• B.Sc. in Computer Science or Software/Computers/Electrical Engineering
• 5+ years of experience in Python and Strong object-oriented programming
• Solid experience with NumPy\Pandas and good understanding of Python data structures.
• Proven experience developing software to interface with hardware. API or SDK development - Advantage.
• Hands-on experience with ROS 1 or ROS 2 coding.
• Familiarity with Linux operating systems, particularly Ubuntu or VDI, with hands-on experience using command-line tools.
• Familiarity with software development practices: Git, CI development, Writing documented & maintainable code.
• Proven experience working directly with customers, fluent in English
• Strong problem-solving skills and ability to collaborate effectively with other teams across the company.
• Experience with automotive / robotics sensors (LiDAR, cameras, RADAR, IMU, etc.) - Advantage
• Basic SQL knowledge and MATLAB experience - Advantage

What will your job look like?

• Build and optimize software modules that implement complex algorithms in real-time on embedded/DSP environment, with memory and bandwidth constraints  
• Work closely with algorithms teams to convert complex MATLAB code to efficient multi-processor real-time environment.

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
• 5+ years of experience in DSP programming (SIMD\Vectorization) and signal processing
• Familiarity with Tensilica DSP's - advantage
• Curious, versatile, effective developer

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:

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.
• Experience working with Transformer-based models.
• Strong programming skills in Python and C++.
• 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:

• Technical product manager for both AV and ADAS perception products utilizing Mobileye's advanced vision technologies:
  • Edge DNN based, real-time and mission critical product lines spanning all Mobileye HW, including the latest design challenges in the AV market
  • Internal and external large scale customer base
  • Unique challenges - both research and agile oriented role, impacting most of Mobileye's various product offering
  • Define and manage Mobileye's core product requirements
  • Own the Product Roadmap and  work with internal and external stakeholders to create a plan based on Mobileye strategies and leading Car OEM's requirements
  • Lead KPIs definition and reviews
  • Generate and maintain accurate and up-to-date documentation for both internal and external stakeholders
  • Lead and facilitate internal product design discussions with the technology managers
  • Joint work with lead car manufacturers, including workshops, test drives and functional tuning

All you need is:

• B.Sc. in Computer Science or a related engineering field
• M.Sc. / MBA - Advantage
• At least 3 years of experience in managing algo-centric products
• Experience in algo development
• Computer vision and Edge DNN experience - Advantage
• Past development management role - Advantage
• Proven experience in customer-facing positions
• Excellent problem-solving, organizational, and analytical skills, with proven ability to take initiative and build strong and productive relationships
• Excellent communication and management skills
• Fluent in English and Hebrew

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
• Linux experience
• 2+ 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:

• Serve as subject matter expert and technical engineer for Mobileye Driving Functions, ADAS and AV products in front of customers.
• Technical work with internal teams to advance customer issue resolution and follow up on issues.
• Gather and analyze customer feedback to understand their needs, preferences, and challenges.
• Support and follow versions and delivery of new versions to customers. Ensure the Mobileye core product requirements align with customer needs and requirements.
• Work collaboratively with Marketing, Sales, Product, Algorithmic Engineering teams.
• Actively help improving development processes across different departments.
• Joint work with lead car manufacturers, including joined workshops, test drives and functional tuning (including on site support).
• Build and maintain excellent customer relationships.

All you need is:

• B.Sc. in Computer Science or a related engineering field.
• 3+ years of experience in customer-facing positions in Technical field.
• Ability to deep dive in Mobileye advanced algorithms and applications.
• Excellent problem-solving, organizational and analytical skills, with proven ability to take initiative and build strong and productive relationships.
• Exceptional communication and management skills.
• Fluent English and Hebrew
• Passion for Cars, AI and the mixture of them
• Experience in SW development and understanding of SW development life cycle.
• Experience in managing products or programs.

What will your job look like:

• Lead execution planning across multiple development teams, ensuring alignment with product milestones and company objectives.
• Build and manage detailed execution plans covering feature development, validation cycles, data readiness, infrastructure capacity, and integrations.
• Monitor progress and proactively drive issue resolution to maintain predictable delivery.
• Define, track, and analyze execution KPIs.
• Identify execution bottlenecks and drive corrective actions across engineering, data, and infrastructure domains.
• Support roadmap planning by aligning feature scope with compute resources, validation bandwidth, and data availability constraints.
• Facilitate execution reviews using dashboards, logs, performance reports, and validation summaries.
• Coordinate across research, software engineering, DevOps, validation, and infrastructure teams to resolve blockers.
• Drive transparency, accountability, and operational rigor across stakeholders.

All you need is:

• BSc. in Computer Science, Electrical Engineering, or related fields.
• 5-7 years of experience in program or product management, with hands-on development experience.
• Ability to read, understand, and run code and scripts (e.g., Python, bash or similar).
• Familiarity with development, CI/CD, testing, and data/ML tools.
• Experience with deep learning development processes.
• Excellent communication, organization, collaboration, and problem-solving skills.

What will your job look like:

• Lead execution planning across multiple development teams, ensuring alignment with product milestones and company objectives.
• Build and manage detailed execution plans covering feature development, validation cycles, data readiness, infrastructure capacity, and integrations.
• Monitor progress and proactively drive issue resolution to maintain predictable delivery.
• Define, track, and analyze execution KPIs 
• Identify execution bottlenecks and drive corrective actions across engineering, data, and infrastructure domains.
• Support roadmap planning by aligning feature scope with compute resources, validation bandwidth, and data availability constraints.
• Facilitate execution reviews using dashboards, logs, performance reports, and validation summaries.
• Coordinate across research, software engineering, DevOps, validation, and infrastructure teams to resolve blockers.
• Drive transparency, accountability, and operational rigor across stakeholders.
• Help diagnose failing tests, integration conflicts, data gaps, and infrastructure bottlenecks.

All you need is:

• BSc. in Computer Science, Electrical Engineering, or related fields.
• 5-7 years of experience in program or product management, with hands-on development experience.
• Ability to read, understand, and run code and scripts (e.g., Python, bash or similar).
• Familiarity with development, CI/CD, testing, and data/ML tools.
• Experience with deep learning development processes.
• Excellent communication, organization, collaboration, and problem-solving skills.

What will your job look like?

• You will be responsible for debugging issues on base tech both at customer HiLs and vehicles.
• You will need to travel frequently to visit customer sites across USA (Florida, California, Texas) and Manufacturing plant in Mexico.
• You will be at customer site to support flashing Software/Firmware on next generation Mobileye Electronic Control Units.
• You will understand and analyze problems and provide technical solutions where applicable.
• You will get to firsthand experience and be part of building the most challenging and inspiring product in the Automotive domain (full self-driving cars)

All you need is:

• Bachelor’s degree in computer science or equivalent technical field from an accredited institution
• A minimum of 3 years of experience as Field Application Engineer or Resident Engineer or System verification Engineer in automotive industry
• Deep understanding of Embedded systems, debug interfaces like JTAG, UART, ethernet
• Experience in working with external memories eMMC, NOR, SPI
• Knowledge of protocols TFTP, SFTP, SCP, UDS, Over the air updates
• Hands-on experience on using test benches and working Test Vehicles
• Ability to identify, troubleshoot and resolve issues on Base SW
• Knowledge of communication Buses and protocols like CAN, CANFD, ETH, SOMEIP
• Fluent English language and excellent communication skills
• Flexibility to travel on short notice to customer sites.

Preferred Qualifications

• A minimum of 5 years of System/SW/Validation experience in the Automotive industry, ADAS related product preferred.
• Experience in working with Vector debugging tools CANoe, CANanalyzer, etc.
• Advanced System/Software analysis and debug skills on test benches and vehicles
• Ability to identify and analyze HW issues.
• Knowledge of ECU manufacturing and cyber security concepts on an ECU.

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

What will your job look like?

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

All you need is:

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

What will your job look like:

• Plan and establish new processes and execute with multiple development teams .
• Deliver results by orchestrating the technical planning, execution, and enablement of key processes.
• Manage timelines, validation, data readiness, integrations, and infrastructure work.
• Define, track, and analyze execution KPIs.
• Support roadmap planning by aligning feature scope with infrastructure capacity, data availability, and validation bandwidth.
• Help identify execution risks and resolve technical blockers, including failing tests, data gaps, integration conflicts, and infrastructure bottlenecks.
• Anticipate and aggressively remove obstacles that slow or prevent teams from delivering objectives.
• Work with management and other leaders to continually identify and implement team process improvements.

All you need is:

• B.Sc. in Electrical Engineering, Computer Science, or a related engineering field.
• 10+ years of experience in engineering teams.
• Excellent problem-solving, organizational, and analytical skills, with proven ability to take initiative and build strong and productive relationships (to drive issues to closure).
• Outstanding organizational, communication, interpersonal, and relationship-building skills conducive to collaboration.
• Excellent analytical and problem-solving skills with a history of proactively working across the organization to drive issues to closure.
• Background in the automotive industry - an advantage
• Fluent English and Hebrew

What will your job look like?

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

All you need is:

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

What will your job look like:

• Deliver results by orchestrating the technical planning, execution, and enablement of key programs.
• Communicate and build rapport with senior executive's technical and non-technical team members.
• Anticipate and aggressively remove obstacles that slow or prevent teams from delivering objectives.
• Lead and contribute to the decision-making process and facilitate conflict resolution.
• Draw from your hands-on experience in the relevant technology requested.
• Use critical design thinking to focus on delivery and results.
• Define key program metrics and communicate outcomes, blockers, and program performance.
• Work with management and other leaders to continually identify and implement team process improvements.

All you need is:

• B.Sc. in Electrical Engineering, Computer Science, or a related engineering field.
• 5+ years of experience in engineering teams 
• 3+ years of experience in project/product management for embedded systems (e.g., Linux-based systems, Real-Time software, Camera/sensor-based systems).
• Validation background - advantage.
• Fluent in English and Hebrew.
• Availability to travel abroad.
• Excellent problem-solving and analytical skills, with a proactive, relationship-driven approach.

What will your job look like?

• Manage, Lead, plan, and execute validation projects within the Reliability Lab, ensuring on-time and on-budget delivery
• Oversee the design and execution of test plans, protocols, and procedures for product and system validation
• Manage a team of validation engineers and technicians, providing guidance, training, and support
• Allocate resources efficiently to meet project objectives and deadlines
• Quality Assurance: Implement and maintain quality assurance processes to ensure the accuracy and reliability of test results
• Maintain detailed records, reports, and documentation of test processes, results, and any deviations
• Identify and mitigate project risks, ensuring that potential issues are proactively addressed

All you need is:

• Bachelor's degree in a relevant field (e.g., engineering, science, or a related discipline). Master's degree preferred
• 10+ years of experience in engineering
• Strong knowledge of validation, automation systems and embedded SW
• Experience in managing cross-functional teams and resources
• Knowledge of industry standards and regulatory requirements- an advantage 
• Proficiency in project management tools and software
• Excellent communication and interpersonal skills

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.
• 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?

• Support ongoing equity-related processes, including vesting events, grants, and share releases.
• Maintain accurate data within Equity Management Systems.
• Respond to employee inquiries related to equity compensation and tax matters, serving as a knowledgeable point of contact.
• Support financial reporting requirements, including preparation of reports for audits (SBC).
• Own and execute SOX controls related to equity processes, including control performance and documentation.
• Maintain and improve internal employee share plan portal, creating clear and accurate materials explaining equity programs.
• Identify opportunities to streamline processes and improve operational efficiency.
• Work closely with Finance, Legal, Payroll, and HR stakeholders across global locations. 
• Report to and work closely with the Global Stock Plan Manager 

All you need is:

• Bachelor’s degree in a relevant field.
• Fluent English – written and spoken.
• Experience with advanced Excel, including working with formulas and functions.
• Strong attention to detail and high level of accuracy.
• Experience working both independently and as part of a global team.
• Experience with operational work and a strong service-oriented mindset.
• Strong communication skills and ability to explain processes clearly.
• Experience with equity administration or equity platforms (e.g., E*TRADE) – advantage.
• Ability to translate complex processes into simple, accessible content.

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 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:

• Partner with system and software engineering teams to implement and improve ASPICE-compliant processes.

• Drive continuous improvement of product quality, not just process adherence

• Support and guide teams through ASPICE assessments (internal & external)

• Translate ASPICE requirements into practical, scalable engineering workflows

• Identify gaps, risks, and improvement opportunities across the development lifecycle

• Coach teams on best practices in systems & software engineering

• Contribute to building a quality-driven engineering culture

All you need is:

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

• ASPICE Provisional Assessor certification with Cybersecurity extension (Competent assessor is a plus)

• Strong background in systems & software engineering

• Proven experience implementing ASPICE in real projects

• Collaborative mindset with strong communication skills

• Excellent communication skills in German and English (both verbal and written)

• ASPICE for Machine Learning

• VW SQIL certification

   

What will your job look like:

• Develop and maintain automated test equipment (ATE) and debug tools to ensure robust and reliable testing of radar products.
• Support testing area by addressing urgent ATE or DUT-level issues and minimizing downtime.
• Run and debug radar test sequences using MATLAB/Python, supporting both algorithm and production KPIs.
• Collaborate with software, algorithm, RF, and hardware teams to resolve failures efficiently.
• Maintain traceability of test issues using JIRA, Tableau, and internal log systems.
• Escalate repeated, critical, or systemic failures, and drive continuous process improvement.
• Track unit status and production KPIs across global sites
• Coordinate with system integration, production, and software engineering teams to align on release readiness.

All you need is:

• Bachelor’s degree in Electrical Engineering, Computer Science, or related technical field.
• 3+ years of experience in production testing. Experience in radar or RF-based systems - Advantage 
• Proven track record in debugging ATE systems, test log analysis, and calibration workflows.
• Experience with Python and MATLAB for test automation and analysis.
• Hands-on experience with JIRA, Tableau, and test result database systems
• Solid understanding of hardware debugging (Experience with RF and sensor boards - Advantage).
• Familiarity with automotive radar, mmWave, and production test flow optimization - Advantage

What will your job look like?

• Hands-on debugging and testing of OS and related components (Boot, HW initialization, Device drivers, Linux Kernel, User space libraries and tools & automated tests in python).
• Deep understanding of the involved OS/Boot components and their integration with other SW/HW modules involving testing automation and system level validation.
• Closely work with members of the Boot and OS development teams to integrate, test and automate new features, components and systems.
• Release & feature management in a multi-project and multi-disciplinary environment while managing CI systems for testing coverage.

All you need is:

• BSc/MSc degree in Computer Science or Computer Engineering.
• Familiar with C programing language- must
• Familiar with Linux Kernel operating system- must
• 5+ years of experience in SW integration with hands-on capabilities in Low-level development and debugging.
• Excellent system understanding, trouble shooting, tracking SW changes and problem isolation and solving.
• Good interpersonal skills and ability to work with multiple teams for leading integration activities.
• Experience with CI and automated testing environment - an advantage.

What will your job look like?

• Hands-on debugging and testing of OS and related components (Boot, HW initialization, Device drivers, Linux Kernel, User space libraries and tools & automated tests in python).
• Deep understanding of the involved OS/Boot components and their integration with other SW/HW modules involving testing automation and system level validation.
• Closely work with members of the Boot and OS development teams to integrate, test and automate new features, components and systems.
• Release & feature management in a multi-project and multi-disciplinary environment while managing CI systems for testing coverage.

All you need is:

• BSc/MSc degree in Computer Science or Computer Engineering.
• Familiar with C programing language- must
• Familiar with Linux Kernel operating system- must
• 5+ years of experience in SW integration with hands-on capabilities in Low-level development and debugging.
• Excellent system understanding, trouble shooting, tracking SW changes and problem isolation and solving.
• Good interpersonal skills and ability to work with multiple teams for leading integration activities.
• Experience with CI and automated testing environment - an advantage.

What will your job look like?

• Hands-on debugging and testing of OS and related components (Boot, HW initialization, Device drivers, Linux Kernel, User space libraries and tools & automated tests in python).
• Deep understanding of the involved OS/Boot components and their integration with other SW/HW modules involving testing automation and system level validation.
• Closely work with members of the Boot and OS development teams to integrate, test and automate new features, components and systems.
• Release & feature management in a multi-project and multi-disciplinary environment while managing CI systems for testing coverage.

All you need is:

• BSc/MSc degree in Computer Science or Computer Engineering.
• Familiar with C programing language- must
• Familiar with Linux Kernel operating system- must
• 5+ years of experience in SW integration with hands-on capabilities in Low-level development and debugging.
• Excellent system understanding, trouble shooting, tracking SW changes and problem isolation and solving.
• Good interpersonal skills and ability to work with multiple teams for leading integration activities.
• Experience with CI and automated testing environment - an advantage.

What will Your job look like:

• System Integration: Collaborate with cross-functional teams to integrate various subsystems and components into a cohesive automotive system, ensuring compatibility and functionality.
• Risk Management: Identify potential risks and issues related to system design and implementation, and develop mitigation strategies to ensure project success.
• Documentation and Reporting: Create comprehensive documentation, including system designs, test reports, and technical specifications. Provide regular progress updates and reports to management and stakeholders.
• Testing and Validation: Develop and execute test plans and procedures to validate system performance, reliability, and safety according to industry standards and regulations.

All you need is:

• B.sc in Electrical Engineering, Computer Engineering, SW Engineering or related field- MUST
• 5-7 years of experience as an Integration and\or Validation Engineer - MUST
• Experience with Linux operating systems and shell scripting- MUST
• Strong understanding of ETH network protocols such as IP\UDP\TCP
• Knowledge and hands-on experience with Python
• Experience with automotive development processes and standards (e.g., ASPICE, AUTOSAR, Vector tools) – an advantage.
• Excellent problem-solving skills, analytical thinking, and attention to detail.
• Effective communication and collaboration skills to work in a cross-functional team environment

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.
• 3+ years of work experience as a DevOps Engineer or similar role.
• Experience with containerization and orchestration technologies, particularly Kubernetes (k8s Vanila - advantage).
• Proven system Linux capabilities.
• Knowledge of secure secrets management solutions (Vault, KMS) and compliance best practices.
• Proven experience with designing and writing complex pipelines – Gitlab-CI/Jenkins/Argo-workflows - an advantage.
• 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 your job will look like:

• Own, manage, and scale observability systems covering both applications and infrastructure.

• Improve our observability platforms to provide deeper insights using metrics, distributed tracing, alerting, and logging.

• Define and implement automation strategies and best practices to ensure service resiliency, optimize performance, and manage costs.

All you need is:

• 3+ years of experience in the administration of Monitoring, APM, and Observability solutions (such as Grafana, Prometheus, Splunk, Zabbix, PagerDuty, or OpenTelemetry).

• Knowledge and hands-on experience with GenAI tools, MCP servers, anomaly detectors, and similar advanced technologies.

• Strong Linux system administration skills.

• Excellent communication skills, both verbal and written, with the ability to collaborate effectively across technical teams.

• Solid understanding of network fundamentals.

• Knowledge of and experience with storage systems.

What your job will look like:

• Own, manage, and scale observability systems covering both applications and infrastructure.

• Improve our observability platforms to provide deeper insights using metrics, distributed tracing, alerting, and logging.

• Define and implement automation strategies and best practices to ensure service resiliency, optimize performance, and manage costs.

All you need is:

• 3+ years of experience in the administration of Monitoring, APM, and Observability solutions (such as Grafana, Prometheus, Splunk, Zabbix, PagerDuty, or OpenTelemetry).

• Knowledge and hands-on experience with GenAI tools, MCP servers, anomaly detectors, and similar advanced technologies.

• Strong Linux system administration skills.

• Excellent communication skills, both verbal and written, with the ability to collaborate effectively across technical teams.

• Solid understanding of network fundamentals.

• Knowledge of and experience with storage systems.

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

What your job will look like:

• Ensure smooth, efficient, and timely warehouse operations.
• Manage day-to-day warehouse activities including receiving, storage, picking/kitting, shipping, and inventory counting.
• Own inventory management, accuracy, and availability in alignment with business needs.
• Full responsibility for warehouse infrastructure, equipment, and overall maintenance.
• Define performance goals and operational KPIs aligned with company objectives, and communicate them clearly to the team.
• Lead the warehouse to meet annual work plans and operational targets.
• Drive continuous improvement initiatives and establish processes, including building new workflows from scratch.
• Work closely with internal stakeholders such as Production, Finance, Engineering, IT, EHS, and Global Logistics team.
• Ensure compliance with safety, EHS, and company policies.

All you need is:

• 5+ years of experience as a Warehouse Manager – Must.
• Bachelor's degree in logistics, business administration or a relevant field – Must.
• Experience in a technological or high-tech environment – an advantage.
• Experience managing global warehouses and warehouses abroad – an advantage.
• Proven people management skills, including workload planning, goal setting, and prioritization.
• Hands-on experience with automated WMS, ERP systems  (NetSuite - advantage).
• Willingness to work full-time including overtime according to needs.
• High level of 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.