Mobileye

We are seeking a Deep Learning Algorithm Developer with strong software engineering skills. Our team is project-oriented, meaning we are assigned significant computer vision projects and solve them using novel, state-of-the-art neural networks. Projects can be initiated both bottom-up and top-down, and they are always interesting and challenging. What will your job look like: • The job consists of a mix of algorithmic research and algorithms development, with an emphasis on deep neural networks. • You will learn and deploy state-of-the-art techniques to achieve world-class results which will allow the safe development of autonomous driving features and advanced driver assistant systems. • The work is typically done in teams and the amount of team interaction varies based on the needs and the employees' tendencies and preferences. • You will be solving algorithmic problems in many fields including mapping, and geometric problems by using heuristic solutions in addition to neural networks. All you need is: • B.Sc. in Computer Science, Electrical Engineering, or related field. • Advanced degree (M.Sc. or Ph.D) in Computer Vision, Deep Learning, or Machine Learning- advantage. • 2+ years of experience in developing DL algorithms. • Python programming skills. • Experience with training transformers in PyTorch. 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! 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!

Mobileye is a pioneering force in the autonomous vehicles (AV) industry. Join us to build the brain behind the car — a large-scale, multi-task neural network that powers the core of Mobileye’s autonomous stack. You’ll design and train cutting-edge deep learning models tailored for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions. From novel architectures and advanced training techniques to performance tuning under tight constraints, you’ll work closely with software and hardware teams to turn research into high-impact, production-ready systems. If you’re a brilliant, hands-on researcher with a passion for shaping the future — this is your launchpad. Our team is at the forefront of Mobileye’s most advanced AI efforts. As a central hub for deep learning innovation, we’re trusted with designing the core neural network architecture that powers the company’s flagship products. If you’re seeking a high-impact role among top-tier researchers and developers — this is the place to be. 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. Advantages: • 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. 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!

Mobileye SOC verification group owns the important and challenging job of verifying Mobileye's chip. It is involved from product specification to final SOC delivery, and involves all the system components. The group is made up of few of the best verification engineers, so besides contributing to making our roads safer, you’ll get the chance to work at one of the most professional verification teams. What will your job look like: • You'll be responsible for Pre-Silicon system-level verification of the most cutting-edge AI accelerators and technologies in the automotive field. • Define the TestPlan, develop and run tests on simulation/emulation environments, develop test environment and verification collaterals. • You'll have a broad effect on our unique product from the very beginning of the process. All you need is: • BSc in electrical engineering, computer engineering or computer science. • 7+ years of experience working in verification environment, tests, and test bench development (C/C++/SV). • TestPlan defining and Coverage-Driven Verification experience. • Fullchip/SOC verification experience, strong system understanding. • Good debug capabilities using the latest EDA tools. • Knowledge in Industry Standard protocols such as AXI/ACEL/OCP/CHI. Nice to have: • SW embedded experience, C/C++ skills. • Strong skills in scripting Perl/Python. • System Verilog writing skills, preferably in OVM/UVM. • 3rd-party IPs integration testing experience. 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!

Our vision Localization group is responsible for accurately localizing the vehicle on a high-definition 3D map with centimeter-level precision using surround camera systems to enable autonomous driving. Our work combines advanced geometric reasoning, scene understanding, and large-scale mapping to solve one of the core challenges of autonomous vehicles in complex real-world environments. The role involves developing algorithmic and deep learning solutions that integrate mathematical optimization, computer vision, and 3D geometry. We work with modern neural network architectures including Transformers, GNNs, and CNNs to solve problems involving scene understanding, object association, and precise spatial reasoning in dynamic environments. The HD map contains rich geometric and semantic information that is critical for safe driving and cannot always be inferred reliably from images alone under all visibility conditions or viewpoints. In addition to achieving highly accurate localization, the team is also responsible for estimating map relevance and consistency with the current world state to ensure safe and reliable autonomous driving. What will your job look like: • Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems. • Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks. • Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning. • Combine learning-based methods with classical optimization and geometric algorithms. • Own the entire lifecycle from prototyping to deployment. • Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions. • Drive innovative solutions for high-precision localization at production scale. All you need is: • 2+ years of practical experience developing computer vision or machine learning solutions using Python and frameworks such as PyTorch or TensorFlow – must. • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance. • Solid foundation in algorithms, data structures, and computer vision/deep learning fundamentals. • Strong analytical skills, a sense of ownership, and the ability to work collaboratively. 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!

We are seeking a skilled and detail-oriented Mechanical Test Engineer to join our testing team. The engineer will be responsible for performing mechanical, environmental, and reliability tests on various products and components, ensuring compliance with company and international standards. The ideal candidate is hands-on, precise, and capable of operating test equipment, documenting results, and supporting product development and qualification processes. What will your job look like? • Conduct mechanical tests including tensile, compression, drop, and impact testing. • Perform environmental tests such as temperature, humidity, and thermal shock. • Operate and maintain laboratory test equipment and monitoring systems. • Prepare test setups, fixtures, and instrumentation according to test procedures. • Record and analyze test data, generate test reports, and communicate results to engineers. • Ensure tests comply with relevant standards (e.g., MIL-STD, IEC, ISO). • Support failure analysis and root cause investigations. • Maintain laboratory cleanliness, organization, and safety compliance. • Assist in developing and improving test methods and documentation. All you need is: • B.Sc. or higher Engineering degree in Mechanical Engineering, Materials, Chemical or a related field. • Minimum 5+ years of experience in mechanical or environmenta l testing or a similar role. • Hands-on experience operating environmental test equipment. • Experience with computerized test automation systems. • Ability to interpret engineering drawings and test specifications. • Strong data analysis and technical reporting skills. • Ability to work independently and manage tasks efficiently. • Good written and verbal communication skills in English. Nice to have: • Background in the automotive industry. • Experience with automotive environmental standards and qualification tests.

We are looking for an experienced Hardware Design Engineer with a strong background in high-speed board design to join our Radar HW Group. Our Radar organization develops automotive radar systems that enable advanced driver assistance and fully autonomous driving. The Radar HW Group has multidisciplinary responsibilities and owns the end-to-end development of all radar hardware. This includes: RF and high-speed digital boards, IC packages, Mechanical solutions & Antenna design. What will your job look like: • Design high-speed boards from concept to production. • Own all design stages: architecture, schematics, layout, modeling, and design reviews. • Work on boards that include high-speed SERDES, LPDDR5/4, power circuits, and additional digital interfaces. • Collaborate closely with RF, mechanical and system teams. All you need is: • B.Sc. in Electrical Engineering. • 10+ years of experience in high-speed board design. • Hands-on experience with OrCAD and Allegro. • Strong understanding of high-speed digital design and power integrity concepts. • Experience with SI/PI modeling and simulation tools, such as HyperLynx, Sigrity, or Siwave. • Experience in developing automotive electronic products, including familiarity with qualification and reliability requirements - advantage. 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!

We are seeking a detail-oriented Product Environmental Compliance Specialist to ensure our company's adherence to applicable environmental, materials and product compliance regulations. The ideal candidate will have a strong understanding of environmental compliance requirements and the ability to interpret, implement, and monitor regulatory obligations throughout the product lifecycle. How your job will look like? • Stay up to date with evolving global regulatory requirements and industry standards, ensuring compliance across all relevant areas. • Manage and maintain compliance systems and tools (e.g., Silicon Expert, Agile, and similar platforms), ensuring accurate regulatory data, reporting, and support for compliance processes. • Monitor and interpret changes in environmental and product compliance regulations and standards (e.g., RoHS, REACH, ELV), assess their impact, and coordinate implementation of required actions. • Collaborate with product, engineering and development groups to conduct thorough risk-assessments, identify potential compliance risks and develop effective mitigation strategies. • Develop and maintain compliance policies and procedures, to ensure requirements are integrated into product design and development processes. • Obtain, review, and maintain required compliance documentation, certifications, and regulatory declarations. • Train staff in compliance with requirements and best practices. All you need is: • BA degree in a relevant field or 5+ years of experience supporting product environmental and regulatory compliance programs, preferably in the automotive, semiconductor, or electronics industries. • Strong knowledge of global product compliance regulations applicable to electronics, semiconductors, and automotive products, including RoHS, REACH, Conflict Minerals. • Familiarity with additional trade compliance areas, such as customs, export controls, and other international trade regulations, is an advantage • Strong analytical and problem-solving skills. • Excellent communication and interpersonal skills. • Ability to manage multiple projects and meet challenging deadlines. Additional Skills - • Attention to details. • Good Interpersonal and communications skills at all levels of the organization. • Able to quickly build strong credibility with business partners. • Risk assessment and management. • Regulatory research and analysis. • Willingness to expand the roles and responsibilities according to the company's growing objectives.

What will your job look like: • Define and implement production quality framework and workplan for Mobileye's systems' NPI and serial production activities (from scratch) • Work closely with colleagues from other departments (PMs, development engineers, production engineers, management) and other organizations (suppliers and customers). • Work with contract manufacturers to analyze the production process, process capability, process capacity and measurement systems capability. • Assess and control the activities through performing VDA6.3 audits • Lead/Support 8D multi-disciplinary teams to investigate faults and failures • Lead and update PPAP folders for Mobileye's systems • Identify opportunities for improvement and execute them. • Create relevant work items templates and coach the teams how to use them. • Assess KPIs of processes and activities and suggest corrective actions and improvement. • Represent production quality related issues with customers, suppliers and 3rd party organizations All you need is: • At least 5 years hands-on experience in quality of NPI and production processes in multidisciplinary systems' design & production companies (Automotive industry - significant advantage) • Knowledge in automotive core tools, standards and best practices - significant advantage • Certification and experience as supplier auditor per ISO19001 (VDA6.3 certification - significant advantage) • Experience in working with information systems - PLM, ALM, Jira (Working with Agile PLM & Polarion ALM - an advantage) • Highly organized, "Can-do" approach, Process-oriented, able to manage and follow-up on many tasks in parallel. • Able to work in a matrix organization while interfacing with diverse technical stakeholders. • Excellent communication skills in English (both verbal and written) • Able and willing to travel abroad • Bachelors degree - advantage 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!

Our vision Localization group is responsible for accurately localizing the vehicle on a high-definition 3D map with centimeter-level precision using surround camera systems to enable autonomous driving. Our work combines advanced geometric reasoning, scene understanding, and large-scale mapping to solve one of the core challenges of autonomous vehicles in complex real-world environments. The role involves developing algorithmic and deep learning solutions that integrate mathematical optimization, computer vision, and 3D geometry. We work with modern neural network architectures including Transformers, GNNs, and CNNs to solve problems involving scene understanding, object association, and precise spatial reasoning in dynamic environments. The HD map contains rich geometric and semantic information that is critical for safe driving and cannot always be inferred reliably from images alone under all visibility conditions or viewpoints. In addition to achieving highly accurate localization, the team is also responsible for estimating map relevance and consistency with the current world state to ensure safe and reliable autonomous driving. What will your job look like: • Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems. • Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks. • Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning. • Combine learning-based methods with classical optimization and geometric algorithms. • Own the entire lifecycle from prototyping to deployment. • Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions. • Drive innovative solutions for high-precision localization at production scale. All you need is: • 2+ years of practical experience developing computer vision or machine learning solutions using Python and frameworks such as PyTorch or TensorFlow – must. • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance. • Solid foundation in algorithms, data structures, and computer vision/deep learning fundamentals. • Strong analytical skills, a sense of ownership, and the ability to work collaboratively. 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!

Mobileye is looking for an experienced Software Engineer to join our Algorithms organization and help build the systems, tools, and workflows that support large-scale data operations and analysis. In this role, you will take ownership of designing and developing solutions that streamline data request management, pipeline monitoring, reporting, and operational workflows across multiple products and systems. You will work closely with algorithm developers, analysts, product stakeholders, and infrastructure teams to transform ad-hoc processes into scalable, maintainable systems. The systems and tools will coordinate work through the workflow, detect blockers and rerun needs, and provide a reliable operational view across requests, products, and issues. We are looking for an engineer with strong system-level thinking, a proactive mindset, and the ability to independently define requirements, identify gaps, and drive projects from concept to production. What will your job look like: • Design and develop scalable systems and tools that support data operations, workflow management, and pipeline monitoring. • Collaborate with analysts, product stakeholders, and engineers to define requirements and deliver end-to-end solutions. • Transform manual processes and ad-hoc scripts into robust production-grade systems. • Investigate and troubleshoot issues across data pipelines, infrastructure, and operational workflows. • Take ownership of projects from system design through deployment and continuous improvement. • Develop primarily in Python within modern production environments. All you need is: • B.Sc. in Computer Science, Software Engineering, or a related technical field. • 3+ years of software engineering experience in production environments. • Experience designing, building, or maintaining production systems with a broad system-level perspective. • Proven experience working on complex systems involving data processing, workflows, backend services, or infrastructure components. • Strong programming skills in Python. Nice to have: • Experience with Kubernetes, Docker, or similar containerized environments. • Experience working with CI/CD processes and deployment pipelines. • Exposure to algorithm development environments or machine learning workflows. 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!

Mobileye is the world leader in automotive and driving assistance systems, developing the world's most advanced software technologies and hardware architectures. Mobileye is providing an end-to-end software solution for development and deploying features on its HW chip - EyeQ. The compilers team is looking for a C++ Software engineer with a passion for low level optimizations and code analysis. What will your job look like? • Develop and extend a compiler based on the LLVM infrastructure to support and optimize Mobileye's EyeQ hardware. • Implement and improve middle‑end and back‑end compiler optimizations. • Analyze generated code to improve performance and efficiency. • Perform real-world benchmark analysis to find optimization opportunities. • Collaborate with chip architects on defining and supporting future hardware generations. All you need is: • B.Sc. in Computer Science, Computer Engineering, or a related field - Must. • 3+ experience in C/C++ and Python - Must. • Fluent English communication skills, both written and spoken. • Experience with low‑level, firmware, or embedded software development and debugging. • Familiarity with compiler technologies, particularly LLVM or MLIR. • Experience analyzing benchmarks and performance data. 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!

Build the intelligence behind the next driving decision. We’re building a reinforcement-learning driving planner for complex, interactive road scenarios. We’re looking for a researcher to help take it from simulation to real vehicles. You’ll develop policy models, rewards, and training methods. You’ll define how driving behavior is evaluated, analyze failures in closed loop, and validate improvements on the road. You’ll work in a small team at Mobileye and collaborate with control and other algorithm teams. This is a high-impact role with direct influence on a core part of Mobileye’s driving technology and its future products. What will your job look like? • Research and develop reinforcement-learning planning algorithms, including policy architectures, reward design, training objectives, and optimization methods. • Train and evaluate RL policies for difficult, interactive driving scenarios, building on the existing learning-based planner and complementary classical components. • Develop evaluation methods and relevant metrics for safety, progress, comfort, and interaction quality, and use them to guide experiments and analyze failures. • Build simulation-based training and closed-loop evaluation workflows. • Turn research ideas into reliable components of the driving stack. All you need is: • M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related field. • 3+ years of hands-on industry experience in deep learning, including designing and training neural networks. • Hands-on reinforcement-learning experience through research or practical application. • Experience in autonomous driving, robotics, motion planning, simulation, or closed-loop evaluation- an advantage 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!

Mobileye is seeking a highly technical Program Manager to join the Execution Program Management Team. In this role, you will drive end-to-end execution across multiple development teams, ensuring delivery against strategic, technical, and operational goals. You will work closely with engineering, research, validation, data, and infrastructure teams to translate roadmaps into executable plans, proactively manage risks, and maintain high development velocity in a complex deep learning environment. 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. 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!

We are seeking a highly skilled and innovative Control Engineer to join our dynamic team dedicated to advancing the field of autonomous vehicles. As a Control Engineer, you will play a crucial role in designing, developing, implementing and testing hands on control algorithms to enhance the performance, safety, and efficiency of our autonomous vehicle systems. *Please note that this position requires 2 days a week at our HQ in Jerusalem. What will your job look like: • Work on developing and optimizing control algorithms for the vehicle. • Run and analyze simulations to test autonomous vehicle in virtual environments. • Collaborate with hardware engineers to integrate control algorithms with the vehicle's hardware components, such as sensors, actuators, and onboard computers. • Working with communication protocols and interfaces for both internal and external communications with different components of the system. • Customer facing workshops to discuss and test your algorithms. • Testing your algorithms in an Autonomous vehicle. All you need is: • B.Sc. in Software/Mechanical/Aerospace Engineering. M.Sc - advantage. • Background in control design and method for embedded systems or robotics (at least 3 years of experience). • Proficient in C++ & Python (at least 2 years of programming). • Experience in Linux. • Experience in Simulink RT - Advantage. • Willingness to travel a few times a year abroad

What will your job look like: • Develop all the necessary HW / FW / SW for the different modules. • Verify and Validate our design. • Debug and analyze coverage and yield loss. • As a cutting edge technology company, we are working only with the very advanced DFT tools and features, while developing our own methods and DFT concepts – as it required by the Automotive and Safety related products market (ISO26262). All you need is: • At least 5 years of experience in the ASIC/SoC industry. • Excellent communication skills. • BSc or MSc in Computer Engineering or Electrical Engineering. Nice to have: • Proven Experience in either SCAN or MBIST tools and flows. • Knowledge of Hierarchical SCAN methodology. • Knowledge of Logic BIST (LBIST) and Test Point Insertion (TPI) flows. • Knowledge of TAP protocols IEEE 1149.1/1500/1687 (iJTAG). • Knowledge of Synthesis flows. 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!

Our Physical Design group operates in a dynamic, startup-like environment that values deep technical expertise and high-level execution. Each engineer holds end-to-end responsibility - from initial definition and constraints development to execution and full signoff. You will work closely with Design and Architecture teams on RTL modifications and design reviews to ensure seamless convergence. We’re looking for an Experienced Physical Design Engineer to join our growing team, and take a key role in developing our next-generation SoC from definition to Tape-Out. What will your job look like: • Hands-on physical design block owner, leading the process from RTL to GDS. • Lead floorplan exploration in collaboration with Front-End and Architecture teams. • STA: Partner with FE and floor planners to manage block and top-level constraints and perform 1st-level timing analysis. • Synthesis: Conduct synthesis exploration and deliver final netlists, including scan insertion, UPF, and clean Lint/Spyglass checks. • Place & Route: Drive the flow from synthesis netlist to final layout and signoff verification, with a focus on optimizing PPA (Power, Performance, and Area). All you need is: • BSc or MSc in Computer Engineering or Electrical Engineering. • 5+ years of experience in the Physical Design field • Proficiency in scripting languages (Tcl, Python, Perl, or tcsh). • A team player with excellent communication skills and a “can-do” attitude. Nice to have: • Experience in developing or maintaining implementation tools and design flows. • Experience with high-speed interfaces (DDR/PCIE). • Experience with advanced nodes (5nm and below). 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!

Mobileye is looking for an experienced Software Engineer to join our Algorithms organization and help build the systems, tools, and workflows that support large-scale data operations and analysis. In this role, you will take ownership of designing and developing solutions that streamline data request management, pipeline monitoring, reporting, and operational workflows across multiple products and systems. You will work closely with algorithm developers, analysts, product stakeholders, and infrastructure teams to transform ad-hoc processes into scalable, maintainable systems. The systems and tools will coordinate work through the workflow, detect blockers and rerun needs, and provide a reliable operational view across requests, products, and issues. We are looking for an engineer with strong system-level thinking, a proactive mindset, and the ability to independently define requirements, identify gaps, and drive projects from concept to production. What will your job look like: • Design and develop scalable systems and tools that support data operations, workflow management, and pipeline monitoring. • Collaborate with analysts, product stakeholders, and engineers to define requirements and deliver end-to-end solutions. • Transform manual processes and ad-hoc scripts into robust production-grade systems. • Investigate and troubleshoot issues across data pipelines, infrastructure, and operational workflows. • Take ownership of projects from system design through deployment and continuous improvement. • Develop primarily in Python within modern production environments. All you need is: • B.Sc. in Computer Science, Software Engineering, or a related technical field. • 3+ years of software engineering experience in production environments. • Experience designing, building, or maintaining production systems with a broad system-level perspective. • Proven experience working on complex systems involving data processing, workflows, backend services, or infrastructure components. • Strong programming skills in Python. Nice to have: • Experience with Kubernetes, Docker, or similar containerized environments. • Experience working with CI/CD processes and deployment pipelines. • Exposure to algorithm development environments or machine learning workflows. 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!

MEQ (Mobileye Quality) team is responsible to foster quality and excellence in Mobileye's products and processes across the entire company. MEQ team focuses on ensuring high customers' satisfaction through continuous improvement and implementation of automotive standards and best-practices such as ASPICE, IATF16949, ISO 9001, VDA/AIAG Core Tools and ISO26262, both internal and across the entire supply chain. In order to support MEQ objectives, The QMS & Production Quality team is looking for a Production Quality Engineer What will your job look like: • Define and implement production quality framework and workplan for Mobileye's systems' NPI and serial production activities (from scratch) • Work closely with colleagues from other departments (PMs, development engineers, production engineers, management) and other organizations (suppliers and customers). • Work with contract manufacturers to analyze the production process, process capability, process capacity and measurement systems capability. • Assess and control the activities through performing VDA6.3 audits • Lead/Support 8D multi-disciplinary teams to investigate faults and failures • Lead and update PPAP folders for Mobileye's systems • Identify opportunities for improvement and execute them. • Create relevant work items templates and coach the teams how to use them. • Assess KPIs of processes and activities and suggest corrective actions and improvement. • Represent production quality related issues with customers, suppliers and 3rd party organizations All you need is: • At least 5 years hands-on experience in quality of NPI and production processes in multidisciplinary systems' design & production companies (Automotive industry - significant advantage) • Knowledge in automotive core tools, standards and best practices - significant advantage • Certification and experience as supplier auditor per ISO19001 (VDA6.3 certification - significant advantage) • Experience in working with information systems - PLM, ALM, Jira (Working with Agile PLM & Polarion ALM - an advantage) • Highly organized, "Can-do" approach, Process-oriented, able to manage and follow-up on many tasks in parallel. • Able to work in a matrix organization while interfacing with diverse technical stakeholders. • Excellent communication skills in English (both verbal and written) • Able and willing to travel abroad • Bachelors degree - advantage 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!

The ISR Group at Mobileye leads Autonomous Vehicle Experiments and Vehicle Technology Integration. The group is responsible for the bring-up and integration of complex hardware and software systems into autonomous vehicle fleets, the retrofitting of autonomous driving technologies, and supporting both internal and external development projects. We are looking for an integration professional with a strong technical background and excellent hands-on capabilities to lead the setup, maintenance, and complex troubleshooting of these systems throughout their development lifecycle. What will your job look like: • Lead and execute HW-SW integration (Bring-up), configuration, and validation for complex autonomous systems. • Demonstrate a deep understanding of system internals: configuration, communication networks, sensors (cameras, radars, LiDARs), computing platforms, and their seamless integration. • Perform hands-on work and physical installations on vehicles as an integral part of the role. Alongside system-level expertise, the work includes the practical integration of components within the vehicle environment (including wiring, soldering, cable crimping, and the use of tools) to ensure full on-site independence, real-time troubleshooting capabilities, and end-to-end issue resolution. • Investigate and troubleshoot complex issues in a multidisciplinary environment (software, hardware, mechanics, networking, and operating systems) and perform Root Cause Analysis. • Provide ongoing maintenance for various vehicle systems and offer technical support to R&D teams during experiments. • Develop, maintain, and utilize scripts and tools to streamline integration, testing, and debugging processes. All you need is: • 3+ years of experience in system engineering processes, integration of complex electronic/embedded systems, and system Bring-up. • Proven and strong hands-on capabilities: practical experience working with tools, performing mechanical assemblies, wiring, soldering, and installing AC/DC power systems. • Good understanding of networking and communication protocols (e.g., TCP/IP). • Experience working with lab and testing equipment: OBD2, Multi-meter (Fluke), Oscilloscope, and Sniffers. • Ability to independently analyze and troubleshoot complex, integrated systems using a structured and systematic approach. • High-level English (reading, writing, and speaking). • Prepared for international travel (several times a year) and working On-Site. Nice to have: • Experience in the Automotive industry. • Knowledge and practical experience working in Linux environments. • Hands-on familiarity with automotive communication protocols: CAN, CAN FD, Automotive Ethernet, FlexRay. • Experience developing automation tools or scripts (e.g., Python). • Familiarity with automotive diagnostics and analysis tools (e.g., Vector). • Prior experience with ADAS and autonomous driving systems. 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!

Join Mobileye's Autonomous Vehicle group as a Software Engineer and be part of revolutionizing the way vehicles operate, from accident prevention to fully autonomous driving. As a team member, you'll contribute to levels L2+ L3, L4 and L5 autonomy, where vehicles navigate complex environments and make decisions with minimal human intervention. What will your job look like: • Design, develop and maintain core C++ software components that power Mobileye's next-generation autonomous driving systems. • Own features end-to-end, from requirements and architecture through implementation, testing, deployment and ongoing support. • Drive software architecture, scalability, reliability and code quality, leveraging engineering best practices, design reviews and continuous improvements. • Solve complex system- level and real time challenges, optimizing performance, memory utilization and execution efficiency. • Contribute to the development of innovative Autonomous Vehicle (AV) technologies, delivering high-impact solutions for internal and external customers. All you need is: • Bachelor's degree or Master's degree in Computer Science, Computer Engineering, or a similar field. • 3+ years of experience in C++ programming . • Strong focus on system architecture and design principle. • A deep systems-level understanding and the ability to integrate complex components. Nice to have: • Experience in Python. • Experience developing in Linux operating system. 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!