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We are a multidisciplinary development team working on a cutting-edge autonomous driving project, at the forefront of automotive technology. The team develops complex ECUs that combine multiple SoCs, low-level firmware, hardware, validation, and automation systems, enabling next-generation autonomous capabilities. We work closely with hardware, system, verification, and automation groups to bring up, debug, and validate advanced automotive platforms from early development stages through production. This is a highly technical, hands-on environment focused on solving real system-level challenges.
What will your job look like:
Debug complex HW/FW and system-level issues in an autonomous vehicle platform
Perform deep root-cause analysis across firmware, hardware, and automation systems
Lead firmware bring-up, integration, and debug of ECUs with multiple SoCs
Debug and support automation systems, including lab automation and FW verification environments
Analyze failures originating from automated test systems and distinguish between FW, HW, and test infrastructure issues
Work closely with HW, system, validation, automation, and architecture teams
Support issues from early development stages through production and field failures
Contribute to firmware debug methodologies and verification strategies
Provide technical leadership and mentoring when needed

We are a multidisciplinary development team working on a cutting-edge autonomous driving project, at the forefront of automotive technology. The team develops complex ECUs that combine multiple SoCs, low-level firmware, hardware, validation, and automation systems, enabling next-generation autonomous capabilities.
We work closely with hardware, system, verification, and automation groups to bring up, debug, and validate advanced automotive platforms from early development stages through production. This is a highly technical, hands-on environment focused on solving real system-level challenges.
What will your job look like:
Debug complex HW/FW and system-level issues in an autonomous vehicle platform
Perform deep root-cause analysis across firmware, hardware, and automation systems
Lead firmware bring-up, integration, and debug of ECUs with multiple SoCs
Debug and support automation systems, including lab automation and FW verification environments
Analyze failures originating from automated test systems and distinguish between FW, HW, and test infrastructure issues
Work closely with HW, system, validation, automation, and architecture teams
Support issues from early development stages through production and field failures
Contribute to firmware debug methodologies and verification strategies
Provide technical leadership and mentoring when needed

our EyeQ Platform Group (EPG) is seeking a motivated Formal Verification Engineer to join our team and contribute to development of hardware verification environments.
This position offers an opportunity to apply formal methods to verify the correctness of various complex digital systems.
This is an exciting opportunity to join a team of talented engineers, working cutting edge technologies in the field of autonomous vehicle.
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

Were looking for a highly skilled Full Stack Developer to join our engineering team.
In this role, youll design, develop, and maintain both backend and frontend systems that power production and internal applications.
Youll work across teams to deliver user-facing features end to end, building scalable, high-availability solutions that support production environments and future web-based platforms.
What will your job look like?
Design, develop, and maintain scalable backend services primarily using Node.js (and Python where applicable), applying modern web frameworks and industry best practices.
Build rich, responsive user interfaces using React, Angular, or Vue.
Develop end-to-end features, integrating frontend and backend components into cohesive, production-ready solutions.
Design and manage databases (SQL and NoSQL), focusing on performance, reliability, and solid data modeling.
Support and enhance production applications, ensuring high availability, resilience, and smooth operation across environments.
Build, containerize, and deploy applications using Docker and Kubernetes in Linux-based setups.
Implement and maintain CI/CD pipelines using GitLab CI for automated testing, integration, and deployment.
Work with AWS services to deploy, monitor, and scale cloud-based applications.
Contribute to system architecture, participate in code reviews, and mentor junior developers when needed.
Collaborate closely with product, design, and cross-functional engineering teams to deliver high-quality user experiences.

we are looking for a Senior Hardware Engineer to join our AV Platform HW Development group in Israel to design the next generation of autonomous driving systems.
What will your job look like?
Responsible for specifying the hardware for our autonomous driving systems
Lead the HW design process: product specification, electrical schematics, component selection, layout, hands-on testing in a lab environment, verification, accompanying production and qualification processes
Define Signal integrity simulations (LPDDR4, MIPI, FPD-link, etc.), perform power integrity (DC drop, PDN AC analysis) and analog simulations (like spice).
Manage the technical interface with our customers to derive the product hardware requirements
Work in collaboration with all the project disciplines: system architecture, mechanical and thermal, software (networking and algorithms), safety and reliability

we are looking for a Senior HW System Architect.
As a Senior HW System Architect, your role will be to work closely with our OEM partners and realize a successful integration of the ADAS to self-driving technology in these platforms.
** This role requires working from our Jerusalem site at least 1 day per week. It also offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like?
Lead end-to-end life cycle of the System architecture - from analyzing OEMs (customers) technical requirements to HW architecture definition, development and verification to ensure integration ofproducts into the vehicle platform.
Work in close collaboration with various groups including algo, HW design, verification, SW architect, Mechanics, and simulations.
Provide architectural guidance and tradeoff recommendations throughout the whole design process from concept through production.
Responsible for the main components selection and technical evaluation (trade-off between cost/performance etc.)
Provide practical system architecture definition to board designers and SW/algo by managing system external Interconnects and internal interfaces, SoC, MCU, definitions and optimization (based on OEMs requirements and other constraints)

We are looking for a senior deep learning algorithm developer to join our growing team under Algorithms Group.
The team is building an innovative multimodal learning framework aimed at improving autonomous driving performance by understanding long-tail cases and providing actionable navigation insights.
Were combining state-of-the-art vision-language models to revolutionize how we train, validate, and scale our autonomous systems.
If youre passionate about deep learning and engineering high-impact autonomous solutions - this is the place for you.
What will your job look like:
Own dataset curation activities- acquiring, cleaning, labeling, and tailoring multimodal data to meet model training and validation requirements.
Train and fine-tune LLMs, VLMs, and VLA models to interpret visual scenes and produce actionable navigation insights supporting autonomous vehicle decision-making.
Lead robust validation of advanced multimodal models - ensuring reliable vision-language-action alignment and consistent performance across diverse real-world driving scenarios.
Collaborate closely with AV planners, perception teams, and infrastructure engineers to ensure seamless deployment in a real-time ecosystem.
Youll have the opportunity to influence the strategic direction of language-driven autonomy - proposing new ideas, shaping model capabilities, and driving innovation from research to real-world deployment.