Jobs in Haifa

Mobileye is looking for a skilled and motivated Embedded SW Group manager for the Platform OS Department to manage the OS integration, automation & qualification activities. The Platform OS department of Mobileye is leading a global effort of making the Linux OS as the Automotive Safety OS that will fuel the Autonomous Vehicle and the whole automotive industry. You’ll lead a fast-paced, hands-on and dynamic group of integration and automation engineers, contributing to the overall qualification and integration effort of Mobileye while collaborating with other teams across the organization. What will your job look like: • Lead a group of 12-15 engineers and team leads split into 2-3 teams of SW Integration, Automation and Qualification. • Manage the daily integration of the aggregated delivery of 5-6 OS teams upstream into Mobileye’s SW stack. • Daily tracking of changes coming from OS development teams and controlling their integration order, priorities, test coverage and conflicts. • Managing a daily integration forum to track nightly tests reports, triaging new issues and assigning them to development teams. • System level understanding of the OS features and tracking the test coverage developed by the OS developers. • Lead the development of the qualification system level tests to verify the quality of the integrated delivery. • Tracking the utilization, health, and allocation of the HW resources in the farm and balancing test coverage to HW availability. • Acting as a PoC for all OS integration and qualification issues. Both within the OS teams and externally. • Tracking bug escapes and their mitigation in the OS test coverage. All you need is: • B.Sc. or higher in Computer Engineering or Computer Science. • Prior experience in leadership of a tech lead role managing team leaders. • Proved experience in managing Integration of Embedded SW at high scale. • Experience in Continuous Integration & automation methodologies and tools. • Experience with unit and integration test environments and techniques is a big advantage. • Sharp analytical skills with strong C and Python programming background. • Advantage for previous experience with the embedded Linux Kernel development. 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!

Note: This role can be based at any of Mobileye’s sites in Israel: Haifa, Jerusalem, Petah Tikva, or Tel Aviv. Join Mobileye’s SoC Architecture team and help shape the next generation of EyeQ™-based automotive compute platforms for ADAS, autonomous driving, and Robotaxi applications. In this role, you will define system-level hardware architectures and translate complex product and customer needs into scalable, robust, and production-ready platforms. You’ll work across SoC, hardware, software, safety, security, and product teams, influencing key architectural decisions from concept through deployment. Why Join Us? • Shape Mobileye’s next-generation automotive compute platforms. • Work across EyeQ™ SoCs, ADAS, autonomous driving, and Robotaxi technologies. • Influence platform decisions from early concept through deployment. • Collaborate with leading experts across hardware, software, SoC architecture, safety, and security. • Solve complex multidisciplinary challenges that will shape future vehicle architectures. What will your job look like: • Define system hardware architectures for EyeQ™-based automotive compute platforms, reference systems, and customer configurations. • Architect the integration of EyeQ™ SoCs with MCUs, memories, cameras, radars, lidars, SerDes devices, Ethernet switches, and other platform components. • Lead architectural decisions around system topology, connectivity, inter-SoC communication, power flows, logging, debug, and service interfaces. • Translate product and customer needs into clear system requirements, interface specifications, and design guidelines. • Drive system-level trade-offs across performance, bandwidth, power, thermal constraints, PCB area, cost, scalability, safety, and security. • Influence EyeQ™ SoC requirements and drive platform BOM and component architecture. • Collaborate across hardware, SoC, software, functional safety, cybersecurity, validation, product, and business teams. • Review system and customer architectures, identify integration risks, and provide guidance throughout design, bring-up, and validation. • Support technical engagements with OEMs, Tier 1 suppliers, semiconductor vendors, and technology partners All you need is: • B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or a related field. • 8+ years of relevant experience in system hardware architecture, automotive electronics, embedded systems, semiconductor platforms, or complex SoC-based products. • Proven experience defining complex board-level and system-level hardware architectures. • Strong understanding of embedded and automotive compute platforms, including MCUs, memories, PCIe, Ethernet, CAN/CAN-FD, MIPI, camera connectivity, and automotive SerDes. • Experience with system block diagrams, interface specifications, product requirements, and reference designs. • Ability to drive architectural trade-offs across performance, bandwidth, cost, power, thermal constraints, board area, safety, and security. • Strong system thinking and experience driving technical decisions across multiple engineering disciplines. • Excellent written and verbal communication skills in English. Nice to have: • Experience with ADAS, autonomous-driving platforms, automotive compute systems, or domain controllers. • Experience with automotive SoCs, sensors, high-speed interfaces, evaluation boards, or customer platform integration. • Knowledge of functional safety and ISO 26262. • Knowledge of automotive cybersecurity and secure system architectures. • Familiarity with automotive standards and processes such as AEC-Q100, ASPICE, and FMEA. • Experience working with OEMs, Tier 1 suppliers, semiconductor vendors, or external technology partners. 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. Our team in Haifa develops cutting-edge technologies to deploy deep learning and computer vision algorithms efficiently on the Mobileye platform. Our work contributes to saving lives and advancing the capabilities of autonomous vehicles. Check out our technology in action: https://www.youtube.com/watch?v=50NPqEla0CQ We are looking for a deep learning software engineer to join the Mobileye Autonomous Driving software group in Haifa, focusing on Deep Learning optimizations. This role offers an exciting opportunity to collaborate with highly talented engineers, contribute to an innovative product, and work with cutting-edge AI technologies. What will your job look like: • Develop a software product that optimizes deep learning networks. The optimizations include learnable techniques such as quantization, pruning and compression. This software product is the initial stage of the deep learning inference flow and is essential for enabling Mobileye’s deep learning networks to operate efficiently on low-power hardware within vehicles. • Development is mostly in Python programming language, using deep learning frameworks such as Pytorch. • Collaborate closely with Mobileye’s algorithm teams to ensure the fast and accurate deployment of their state-of-the-art models. • The work encompasses the entire software development cycle, including code implementation, unit testing, CI/CD processes, and more. • Literature research and POC implementation of new optimization algorithms. • Your work will position you at the forefront of machine learning optimizations. All you need is: • BSc/MSc in Computer Science/ Electrical Engineering with computer science chain. • 5+ years experience in Neural Networks/Deep Learning. • Hands-on experience with PyTorch and deep learning frameworks. • Strong Python programming skills and experience developing production-grade software. • Knowledge of C/C++ and experience with containerized environments – an advantage. • Experience in CI/CD pipelines and containerized environments.

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’s Unit Level Verification Team in Haifa is looking for an experienced verification engineer to be involved in the development of Mobileye’s future AI and deep learning HW accelerators. This is an exciting opportunity to join a team of highly talented engineers, working on the most cutting-edge technologies to deliver Mobileye’s EyeQ future chips, aimed to power the world’s first fully Autonomous Vehicle! What will your job look like: • Define, implement and enhance verification environments using UVM methodology. • Write and debug tests that combine UVM methodology and SW code. • Identify and write various types of coverage measures. • Collaborate with designers, architects, and SW developers from Haifa and Jerusalem teams to deliver the most comprehensive verification environment. • Integrate Industry Standard (such as AXI and OCP) and other 3rd party VIPs. All you need is: • BSc in electrical engineering, computer engineering, or computer science. • 4 years of experience working in verification environment, tests, and test bench development (SV/UVM/C/C++). • System Verilog writing skills, preferably in OVM/UVM. • SW embedded experience, C/C++ skills. • TestPlan defining and Coverage-Driven Verification experience. • 3rd-party IPs integration testing experience. • Waveform debugging with the latest EDA tools, root-cause bugs independently. Nice to have: • Skills in scripting Perl/Python. • Knowledge in Industry Standard protocols such as AXI/OCP/APB. 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’s Autonomous Driving group in Haifa is looking for an Electrical Validation & Embedded SW Engineer. This is an exciting opportunity to join a growing team of highly talented engineers, working on the world’s most advanced SoC’s for ADAS and self-driving vehicles. In Mobileye, Electrical Validation engineers enable, debug, and validate high-speed interfaces - like LPDDR4/5/6, PCIe Gen4/5, CDPHY, and MPHY - using high-end Lab measurement equipment and advanced SW tools. This dynamic work environment requires interfacing with Silicon and hardware design engineers, Software developers, Signal Integrity, and System Validation teams. The proximity to Signal/Power integrity simulation activities - we are a single SIPI/EV team - is another powerful advantage, enabling joint simulation-measurement effort. What will your job look like: • You will join a team of talented and experienced EV/SI/PI engineers with wide scope of responsibility, from Pre-Si SI/PI simulations to Post-Si Electrical validation and debug, covering all the high-speed analog interfaces of Mobileye’s EyeQ products. • Responsibilities include performing electrical spec compliance and system margin validation, interface optimization, statistical results analysis, validation flow definitions and automation, validation SW tools development, etc. • You will also deal with FW development, automation enabling, data post-processing and debug of high-speed interfaces, like LPDDR4/5, PCIe Gen4/5, and D/C/MPHY. All you need is: • BSc or MSc in Electrical or Computer engineering. • 3+ years of hands-on experience in validation or HW/SW debug or embedded SW development. • Hands-on experience with test automation development or FW development or automated data analysis. • Strong sense of ownership, commitment, and responsibility. • Good interpersonal communication skills. Nice to have: • Experience with advanced lab equipment (Scope, BERT, etc.). • Experience in Signal/Power Integrity design. • Experience with analog circuits or PHY IP knowledge. 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 Mobileye Automated Driving Hardware group in Haifa is looking for an Experienced Formal Verification Engineer to join a team of talented engineers developing next-generation silicon for autonomous driving platforms. This is a unique opportunity to enter one of the most challenging and rewarding disciplines in hardware development. Formal Verification combines deep understanding of computer architecture, digital design, and advanced verification methodologies to prove hardware correctness and uncover bugs that traditional testing may never find. 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. 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!

Are you looking to take an active part in shaping next-generation EyeQ SoC technology, driving the process all the way from initial definition to Tape-Out? 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 expanding our teams and looking for an Experienced Physical Design Engineer who is ready to make a massive impact NOTE: By applying for this position, you will have the opportunity to indicate your preferred work location: Haifa or Petach Tikva. 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!

As a Validation Project Manager in our Reliability Lab, you will be responsible for planning, executing, and overseeing all validation and testing projects within the lab. You will work closely with cross-functional teams to ensure that products and systems meet quality and reliability standards. This position offers a unique opportunity to work directly with major automotive customers, driving our commitment to delivering high-quality, reliable products to our clients. 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. 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 from RTL to GDS with horizontal ownership. • Floorplan exploration and collaboration with front-end and architecture teams. • Synthesis exploration and final synthesis including: SDC definition, Scan insertion, Lint, LEC, UPF-LP & Spyglass verification. • Place & Route: from Synthesis to final layout and signoff verification on all tools and floors, with target to achieve best PPA. • STA: timing analysis, working with Sub System and Full Chip owners to manage block and top level constraints for synthesis, P&R and signoff. • Signoff : on all physical design domains- STA, IR/EM, Physical Verification, Logic Equivalent Checking, Low Power Verification. All you need is: • BSc or MSc degree in Computer Engineering or Electrical Engineering. • 8+ years experience in the Physical Design field. • Team player with excellent communication skills, customer orientation, and a “can-do” attitude. • Experience in scripting languages like Tcl/Python/Perl/TCSH. Nice to have: • Experience with high speed interfaces (DDR/PCIE). • Experience with advanced nodes (5nm and below). • Building or maintaining implementation tools and flow. 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's Automated Driving group is looking for an experienced DFT Engineer. This is an exciting opportunity to join a team of highly talented engineers, working on one of the most cutting-edge technologies - Autonomous Vehicle (AV) SoC. At Mobileye's Automated Driving group, we know that the idea of a fully autonomous car is no longer science fiction, but a reality that we are creating! We have spent more than 15 years developing the world's most Advanced Driver Assistance Systems (ADAS) and we are now leading the computer vision and machine learning domain, reaching fully automated driving experience (AV). 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!

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!

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.

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!

Mobileye is the world leader in automotive and driving assistance systems, developing the world's most advanced software technologies and hardware architectures. We develop the software architecture system and tools to enable state-of-the-art algorithms to run efficiently in vehicles – contributing to saving lives and enabling autonomous vehicles. Within the Compute Software group, we are responsible for all Mobileye features above the operating system. This entails creating a diverse range of tools, libraries, and different work environments. What will your job look like: • You will lead and develop various development tools, technologies and SW infrastructures for Mobileye platform including simulators, data analysis, debugging tools and performance optimization tools. • You will get a deep understanding of Mobileye's HW architecture as well as end-to-end use cases and CV\DL algorithms. • You will work on different environments in the Mobileye's software stack including backend, middleware and frontend development. • You will consistently work and interact with multiple departments in Mobileye. • You will have a great chance to influence future generations of Mobileye hardware and software stacks. All you need is: • BSC/ MSc in Computer Science, Computer Engineering or related field. • 3+ years of experience in C/C++ programming. • Experience working in python- advantage . • Experience developing in Linux operating system - must. Nice to have: • Knowledge of low-level programming languages and hardware programming aspects. • Good understanding of computer architecture, and performance tuning/optimizations. 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!

Job Description Summary We are seeking a proactive and detail-oriented AI Regulatory Engineer to ensure that AI-based clinical features for ultrasound systems comply with evolving global regulatory requirements—particularly FDA regulations for AI-enabled medical devices. This role is critical as AI has become a highly regulated domain, requiring specialized regulatory strategies, risk management approaches, and lifecycle governance. The AI Regulatory Engineer will work closely with AI engineering, clinical, quality, product management, and regulatory affairs teams to define and execute the correct AI regulatory and submission strategy across the full product lifecycle. Job Description Key Responsibilities AI Regulatory Strategy & Compliance • Interpret and apply regulatory frameworks and guidance for AI-enabled medical devices, including FDA, EU MDR/IVDR, and global regulations. • Define and drive AI regulatory strategies for clinical ultrasound features, including SaMD and AI-enabled device functions. • Support FDA submission pathways (e.g., 510(k), De Novo, PMA) for AI-based features, including AI-specific regulatory positioning. Risk Management & Safety for AI • Lead AI-focused risk management activities in accordance with ISO 14971, addressing AI-specific hazards such as bias, robustness, generalization risk, and clinical misuse. • Perform and maintain AI-specific risk analyses (e.g., AI FMEA, algorithm hazard analysis, clinical performance risk). • Ensure traceability between clinical requirements, AI behavior, risk controls, and verification/validation evidence. Regulatory Documentation & Submissions • Prepare and maintain AI-related regulatory documentation, including: • AI descriptions and intended use statements • Training and validation dataset descriptions • Performance evaluation and clinical evidence summaries • Algorithm change management and lifecycle documentation • Support creation of FDA-ready AI documentation, including transparency, explainability, and human-factors considerations. AI Lifecycle & Change Management • Define regulatory-compliant processes for AI updates, retraining, and post-market changes, aligned with FDA expectations. • Support implementation of Predetermined Change Control Plans (PCCP) or equivalent AI lifecycle strategies. • Ensure alignment between AI development practices and regulatory expectations for locked vs. adaptive algorithms. Cross-Functional Collaboration • Collaborate closely with: • AI engineers and data scientists • Clinical and medical affairs teams • Quality, systems, and V&V engineers • Product management and regulatory affairs • Embed regulatory and safety requirements early into AI design, data strategy, and clinical validation plans. Regulatory Intelligence & Audits • Monitor evolving AI regulations, FDA guidance, standards, and industry best practices. • Communicate regulatory changes and their impact on AI roadmaps and product strategy. • Support internal audits, design reviews, and external regulatory inspections related to AI and clinical safety. • Provide training and guidance on AI regulatory and safety topics to engineering and product teams. Qualifications Required Qualifications • Bachelor’s or Master’s degree in Engineering, Computer Science, Biomedical Engineering, or related field. • Experience working in regulated medical device environments, preferably involving AI-driven clinical features. • Solid understanding of medical device regulatory frameworks, with emphasis on FDA and EU MDR. • Experience with risk management methodologies and safety processes for medical devices. • Strong analytical, documentation, and communication skills. • Ability to work independently and collaboratively in a multidisciplinary environment. Preferred Qualifications • Experience with AI-enabled medical devices, SaMD, or clinical decision support systems. • Familiarity with FDA guidance on AI in medical devices, Good AI Practice, and AI lifecycle governance. • Experience supporting FDA submissions involving software or AI components. • Knowledge of AI-related topics such as dataset governance, algorithm performance metrics, bias mitigation, and explainability. • Certification or formal training in regulatory affairs, quality, or safety (e.g., RAC, TÜV, ASQ). • Experience working with global regulatory regions (US, EU, Asia). GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support. #LI-TM1 Additional Information The job is open to men and women equally Relocation Assistance Provided: No

Job Description Summary GE HealthCare is a leading manufacturer of medical imaging devices. GE HealthCare’s Point of Care Ultrasound Algorithm team is looking for an experienced AI Algorithm Developer to take ownership of challenging imaging and guidance problems. You will develop algorithms that connect physical imaging processes, clinical needs, and product behavior. The role combines hands-on algorithm development with independent technical judgment, close collaboration across disciplines, and responsibility for delivering reliable results. We are looking for someone who wants to understand why a solution works, recognize where it fails, and take responsibility for improving it. Job Description Responsibilities • Independently own algorithm workstreams, from understanding the problem and defining the technical approach through implementation, evaluation, and integration. • Translate clinical and product needs into clear algorithm requirements, measurable success criteria, and practical development plans. • Develop solutions combining deep learning, computer vision, image processing, and mathematical modeling, selecting methods appropriate to the problem. • Understand how imaging physics, acquisition geometry, artifacts, and system constraints affect the data and algorithm behavior. • Define data and annotation requirements, design reproducible experiments, investigate failure cases, and use findings to guide improvements. • Work with software, imaging, clinical, and product teams to resolve dependencies and balance accuracy, robustness, latency, and computational requirements. • Use generative AI tools thoughtfully to accelerate research, coding, testing, and analysis, while verifying outputs and retaining responsibility for technical decisions and results. • Deliver maintainable code and clear technical documentation supporting integration, verification, and regulatory activities. Requirements • M.Sc. or Ph.D. in Electrical Engineering, Computer Science, Physics, Biomedical Engineering, Mathematics, or a related field, or equivalent relevant experience. • At least four years of hands-on experience developing computer vision or image-processing algorithms, including substantial experience with deep learning. • Strong Python programming skills and practical experience with PyTorch or an equivalent deep learning framework. • Strong mathematical foundations and demonstrated ability to reason about physical systems, measurement processes, and their implications for algorithm design. • Demonstrated ownership of a substantial technical problem, including defining the approach, making justified decisions, coordinating dependencies, and delivering results. • Experience designing experiments, evaluating performance, and distinguishing limitations arising from data, models, implementation, or the imaging system. • Ability to use generative AI tools effectively in technical work, critically assess their outputs, and explain and verify the resulting code and analysis. • Clear communication and the ability to work independently while engaging colleagues when their expertise or decisions are needed. Advantages • Experience with ultrasound, medical imaging, computational imaging, or signal processing. • Experience with temporal modeling, tracking, 3D computer vision, or computational geometry. • Experience with C++, inference optimization, or deployment on systems with limited computational resources. • Experience taking algorithms from feasibility studies into integrated products. How you work • Take responsibility for outcomes and follow through on commitments. • Investigate underlying causes, question assumptions, and choose solutions based on evidence. • Bring a constructive, practical approach to difficult problems. • Communicate progress and uncertainty clearly, raise risks early, and seek input before a problem becomes a blocker. GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support. #LI-TM1 Additional Information The job is open to men and women equally Relocation Assistance Provided: No

Job Description Summary The Staff Machine Learning Engineer is a senior technical leader responsible for designing, developing, and deploying production-grade AI systems for GE Healthcare medical imaging products. This role focuses on vision-language models, diffusion models, and multimodal learning, working closely with data scientists, software engineers, product leaders, and clinical experts to turn advanced AI methods into robust product capabilities. Job Description The Staff Machine Learning Engineer is a senior technical leader responsible for designing, developing, and deploying production-grade AI systems for GE HealthCare medical imaging products. This role focuses on vision-language models, diffusion models, and multimodal learning, working closely with data scientists, software engineers, product leaders, and clinical experts to turn advanced AI methods into robust product capabilities. Key Responsibilities • Design, implement, and productionize AI models for clinical applications, including vision and diffusion models. • Own end-to-end model lifecycle: data ingestion, training, evaluation, deployment, monitoring, and iteration. • Work with large-scale medical datasets, ensuring data quality, preprocessing, and efficient pipeline management. • Drive technical decisions and tradeoffs with a focus on scalability, maintainability, and real-world constraints. • Collaborate with clinical AI scientists to translate research innovations into production-ready solutions. • Stay current with advancements in vision-language modeling, GenAI, and related AI technologies. • Qualifications • Master’s or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or related field. • Significant hands-on experience building and deploying ML systems to production. • Strong experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow). • Solid understanding of deep learning, computer vision, and natural language processing techniques. • Prior experience working with medical imaging data is highly preferred. • Solid software engineering fundamentals, including testing, version control, CI/CD, and code reviews. • Independent, self-learner, and results-oriented. • Fluent English (speaking and writing). GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support. #LI-TM1 Additional Information The job is open to men and women equally Relocation Assistance Provided: No

Job Description Summary The Systems Engineer has design responsibility to deliver customer workflow, feature functionality, product quality, reliability, serviceability, manufacturability, regulatory, compliance, and cost. Activities include system conception, system analysis, requirements development, traceability and flow down, architecture/system design, FMEA, system integration, system optimization, developing/executing System Verification and Validation test procedures, and providing support to manufacturing and field issues. GE Healthcare Molecular Imaging in Israel is the largest diagnosis imaging development center in the world. Our mission is to bridge the gaps between discovery, diagnosis and treatment with medical imaging innovations to help our customers deliver precise, personalized care through cutting-edge applications that change lives. We do this through our powerful multidisciplinary team spans a broad variety of skills and capabilities - product managers, SW/HW/systems/mechanical engineers, physicists and clinical experts, sourcing, regulatory affairs, business leaders. Job Description Responsibilities: Duties include (but are not limited to): • Providing domain expertise to serve as the main integrator between all involved disciplines and functions to deliver the best quality product. • Working across functions and team boundaries to define, design, and implement the next generation of products, features and functionalities. • Working with customers, Marketing and field personnel to refine requirements which can be further developed by the engineering teams. • Developing methods to quantify subsystem interactions and their effects on image quality • Delivering and incorporating feedback results into new hardware, software and service specifications. • Decision making in cross-disciplinary and architectural aspects. • Apply expertise to help resolve urgent issues with current Molecular Imaging products. • Assist Program Manager in execution of projects within time and schedule. Qualifications: • B.Sc. in Biomedical/Mechanical/ Electrical/Software Engineering. • MSc in engineering – advantage. • Experience in medical systems – advantage. • At least 2 years of relevant systems engineering work experience in projects involving design and development of complex systems. • Advantage – experience in more than one system engineering position, either in a single or multiple work-places General: • Independent by nature, Self-learner, Excellent communication skills • Proven ability to develop timely and effective solutions for challenging design problems. • Proficient in use of software tools for analysis and simulation (MATLAB, etc.) • Demonstrated ability to pursue tasks to completion. • Broad exposure to Mechanical/ Control/ HW/SW/Systems design, and technical depth in one or more engineering disciplines (Electrical, Mechanical, Software, Control, Physics, etc.) GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support. #LI-TM1 Additional Information The job is open to men and women equally Relocation Assistance Provided: No