Mobileye

You will join Mobileye’s Release Management team. The team owns the Release lifecycle, includes scheduling, coordinating and management of the ADAS & AV SW releases. You will be responsible for implementing and managing the release processes for code through development, integration, and test environments, collaborating with all participants in Algo/Software Development, Product Management, and Project teams. What your job will look like? • Lead and orchestrate the end-to-end release lifecycle for ADAS and Autonomous Vehicle software products, from planning through delivery and post-release follow-up. • Own release planning, schedules, dependencies, milestones, and deliverables—ensuring releases are delivered on time, at high quality, and with controlled risk. • Proactively identify release risks, blockers, and cross-team dependencies; drive mitigation plans and escalate when needed. • Partner closely with Development, Integration, QA, Product, Program Management, and other stakeholders to ensure release readiness and smooth execution. • Define, track, and communicate release-health metrics, providing clear visibility into progress, quality, risks, and areas for continuous improvement. • Serve as the central point of contact for release-related communication, including release plans, status updates, decisions, scope changes, and go/no-go milestones. • Establish and maintain release governance, including readiness criteria, approval processes, change-control practices, and retrospective reviews. • Maintain accurate and comprehensive documentation for release artifacts, procedures, configurations, dependencies, and lessons learned. • Drive improvements to build, integration, and deployment workflows by developing and maintaining automation tools and scripts. • Promote best practices in CI/CD, software configuration management, release engineering, and DevOps across the organization. • Stay current with relevant industry trends and technologies, and translate them into practical improvements to Mobileye’s release processes and tooling. All you need is: • B.Sc. in Computer Science, Software Engineering, or a related technical field. • At least 10 years of relevant industry experience, ideally in Release Management, DevOps, Software Engineering, or a similar role. • Proven experience leading complex, cross-functional software releases in a large-scale engineering environment. • Strong understanding of Agile and Scrum methodologies, including release planning and delivery within iterative development cycles. • Excellent organizational, prioritization, and stakeholder-management skills, with the ability to manage multiple dependencies and competing priorities. • Strong written and verbal communication skills in English and Hebrew. Nice to have: • Hands-on experience with tools such as Jira, GitLab, Jenkins, and relevant reporting or dashboarding tools. • Programming or scripting experience, preferably in Python. • An M.Sc., MBA, or experience working with large-scale, safety-critical, automotive, ADAS, or Autonomous Vehicle software systems.

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 looking for an ambitious Technical Assistant for Executive VP that thrives in a dynamic and innovative environment and is eager to contribute to our groundbreaking advancements. What your job will look like: • Track and follow up on action items from leadership meetings and ensure timely delivery. • Understand and help scope tasks beyond administrative execution, identifying what's needed for successful outcomes. • Document meetings, synthesize key takeaways, and maintain clarity of priorities and next steps. • Prepare materials for executive presentations and internal communications. • Identify gaps, inefficiencies, and opportunities for improvement across the organization and proactively suggest or initiate solutions. • Maintain high discretion and confidentiality with sensitive information. • Act as a key support partner to the EVP, helping drive execution across mostly R&D domains. • Manage and maintain the EVP's presence across relevant internal and external platforms (e.g., social media, internal communications). All you need is: • Bachelor's degree – preference for a technical field. • 2-5 years of experience as a technical project manager in R&D field. • Strong organizational and time-management skills; detail-oriented and structured. • Ability to work independently and manage multiple priorities in a dynamic environment. • High emotional intelligence, maturity, and professional presence. • Strong problem-solving capabilities and business awareness. • Self-driven, proactive, and a fast learner. • Excellent communication skills in English – written and verbal. 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 a Technical Product Strategy Manager to lead the definition of next-generation products. In this role, you will define what products should be built, why they matter, and how they create customer and business value. You will translate customer needs, market opportunities, business objectives, and technology capabilities into product strategy, product requirements, and long-term roadmaps. This role is ideal for someone with a strong technical foundation who thrives on strategic thinking, understanding customer challenges, analyzing market trends, and driving product decisions across complex engineering organizations. You will have the opportunity to influence the future direction of autonomous driving products by connecting customer needs, industry trends, and cutting-edge technology into a clear product vision. What will your job look like: • Own and drive the product strategy and long-term roadmap for one of Mobileye's flagship products. • Define product vision, capabilities, use cases, operational concepts, and success metrics. • Create Product Requirement Documents (PRDs) that translate product strategy into clear requirements for R&D teams. • Develop a deep understanding of customers, market trends, and competitive landscape to identify product opportunities. • Drive product decisions and tradeoffs by balancing customer value, business objectives, and technical feasibility. • Partner with multidisciplinary R&D teams to define and evolve products. All you need is: • B.Sc. in Computer Science, Electrical Engineering, Physics, or a related engineering discipline. • 5+ years of experience in Product Management, Systems Engineering, or a similar role involving complex technology products. • Strong technical foundation in software, hardware, AI, embedded systems, algorithms, sensors, or other deep-tech domains. • Experience defining products, translating complex concepts into clear requirements, and working with engineering teams. • Ability to quickly understand complex technologies and identify product opportunities. • Strong analytical, communication, and stakeholder management skills, with the ability to influence cross-functional teams. • Hands-on experience using AI/GenAI tools to drive product definition and product management activities. • Experience in automotive, semiconductor, robotics, aerospace, defense, or other deep-tech industries- 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!

Join Mobileye’s Cutting-Edge Journey as a Technical Program Manager (TPM) Are you an energetic, self-driven problem-solver with a knack for turning chaos into clarity? Mobileye is searching for a Technical Program Manager (TPM) to join our R&D Program Management team. This is your chance to make a direct impact on the future of Advanced Driving Assistance Systems (ADAS), L2+, and Autonomous Vehicles. As a TPM, you’ll thrive in a dynamic environment, spearheading large-scale, cross-functional projects that are pivotal to Mobileye’s success. You’ll be at the intersection of high-level strategic planning and hands-on implementation, working closely with C-level executives, engineering teams, and other key stakeholders. If you have a passion for tackling complexity and driving innovation, this role is for you. What will your job look like: • Take ownership of the end-to-end execution of critical projects, aligning with Mobileye’s Product Group vision. • Lead in a dynamic environment, finding creative solutions to ensure smooth execution across departments. • Leverage your hands-on software development expertise and architectural understanding to align technical implementation with business goals. • Proactively identify and remove roadblocks, enabling engineering teams to focus on innovation. • Collaborate with senior executives to deliver high-impact results, influencing strategic priorities. • Foster streamlined processes and technology improvements to reduce friction and accelerate delivery. All you need is: • B.Sc. in Computer Science or a related engineering field. • 3-7 years of experience managing/leading software development teams. • Hands-on experience in software product/project management – Advantage. • Experience with DevOps and development infrastructure – Advantage. • Outstanding problem-solving, organizational, and analytical abilities. • Proven ability to thrive in fast-paced environments, simplify complexity, and independently navigate ambiguity while staying ahead. • Exceptional communication and collaboration skills, enabling seamless interaction across all levels, from engineers to executives, with a strong sense of ownership and commitment to project success. • Fluent in English and Hebrew. 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 PUMA, the team developing the deep-learning perceptions solutions at the heart of Mobileye's autonomous-driving system. Our work powers advanced, large-scale multi-task models. We are looking for an ML Data Engineer to own the engineering foundations behind its development and training. You will build pipelines and tools that process images, video, geometric information, and evaluate model outputs. Working alongside deep-learning researchers, you will eliminate resource-intensive bottlenecks and reduce computation costs and iteration time. What will your job look like? • Optimize distributed data and evaluation pipelines for memory efficiency, throughput, and training performance. • Build tools for data exploration, manipulation, validation, and quality assessment. • Own model manipulation, packaging, distribution workflows, and interfaces with downstream deployment and EyeQ integration. • Coordinate data contracts and workflows with researchers, infrastructure and data teams, and internal customers across Mobileye. All you need is: • Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related field from a leading university. • 4+ years of hands-on software or data-engineering experience. • Excellent Python and Linux skills with strong software-engineering foundations. • Experience with SQL, Spark, and PyArrow. • Experience optimizing distributed pipelines or compute-intensive systems for memory use and parallel execution. • Familiarity with PyTorch and ML workflows, including datasets, training, checkpoints, evaluation, and GPU computation. • Strong ownership, independent problem-solving, and cross-team collaboration skills. Nice to have: • Master's degree in a relevant field. • Experience in computer vision or autonomous-driving systems. • Familiarity with model deployment, hardware-aware ML, or specialized AI accelerators. 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!

We are looking for a highly experienced and innovative Senior Information Systems Engineer – AI & Automation to join our Information Systems department. This is a hands-on, individual contributor role within a team responsible for managing, maintaining, and evolving a portfolio of enterprise IS platforms. In this role, you will be at the forefront of driving AI adoption and automation across our Information Systems landscape. Approximately 80% of your time will be spent on hands-on engineering, integration development, and platform optimization, while the remaining 20% will focus on strategic thinking — identifying opportunities, evaluating emerging technologies, and shaping the IS roadmap for AI-driven innovation. We are seeking a seasoned professional with a proven track record of delivering results in complex IS environments. This is not an entry-level position — we need someone who has accumulated significant experience across IS platforms, integrations, and AI technologies, and who brings a strong sense of ownership, initiative, and a forward-thinking mindset. What will your job look like? • Design, implement, and maintain AI-powered solutions and automation workflows across enterprise IS platforms. • Evaluate, pilot, and deploy emerging AI tools and technologies to enhance IS capabilities, streamline processes, and improve operational efficiency. • Lead cross-functional IS projects from requirements gathering through delivery, ensuring timely execution and alignment with business objectives. • Develop and maintain custom scripts, connectors, and technical solutions to bridge gaps between platforms and enable seamless data flow. • Continuously monitor the AI and IS technology landscape, proactively identifying opportunities for innovation and improvement. • Contribute to the definition of IS standards, best practices, and architectural guidelines for AI and automation adoption. • Collaborate with cross-functional teams to understand business needs and translate them into scalable, AI-enhanced IS solutions. • Document technical designs, integration architectures, and operational procedures to ensure knowledge transfer and continuity. All you need is: • Bachelor's degree in Information Systems, Computer Science, Software Engineering, Industrial Engineering & Information Systems, or a related field. • Minimum of 5 years of hands-on experience in Information Systems engineering, administration, or a comparable role in enterprise environments. • Proven experience with Atlassian products (Jira, Confluence, and related tools) and familiarity with project/work management platforms such as Asana and Monday.com. • Demonstrated knowledge and hands-on experience with AI technologies, tools, and frameworks as applied to Information Systems — including AI-driven automation, intelligent workflows, and AI-assisted development. • Strong experience with integration platforms (e.g., Workato, N8N, or equivalent) and a solid understanding of APIs, webhooks, and data orchestration patterns. • Solid coding and scripting abilities with the capacity to develop, debug, and maintain custom integrations, automation scripts, and technical solutions. • Proven ability to independently manage and deliver IS projects end-to-end, including planning, stakeholder coordination, risk management, and execution. • A strong track record of identifying opportunities for improvement, proposing innovative solutions, and driving change within an IS organization. • Excellent written and verbal communication skills in English, with the ability to present complex technical concepts to both technical and non-technical audiences. • Highly autonomous, proactive, and reliable — able to take ownership of initiatives and deliver results with minimal supervision. Nice to have: • Experience with additional IS platforms beyond the Atlassian ecosystem (e.g., ServiceNow, Salesforce, or ERP systems). • Experience with cloud platforms (AWS, Azure, GCP) and cloud-based IS architectures. • Experience with scripting languages such as Python, JavaScript, or Groovy in the context of IS automation. • Experience working in large-scale, global enterprise environments with complex IS ecosystems.

The AI Engineering group builds modern infrastructure and solutions that improve how algorithms are developed at Mobileye. We are a small, independent team of experienced engineers with a mix of skills in algorithms, software, and infrastructure. We work in a DevOps style and build cross-team solutions that support research and development of advanced perception algorithms. Our flagship project is a unified AV dataset used to train and evaluate next-generation models. We take large volumes of multi-camera video, object labels, HD maps, and sensor data from across the organization, and turn it into a curated, high-quality training set - at scale. We are looking for someone who brings ML and computer-vision depth to the team - someone who can help shape the intelligence layer that decides what data is worth training on. What will your job look like: • Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you will contribute across the full stack alongside the rest of the team. • Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset. • Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration. • Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset. • Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria. • Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training. • Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms). All you need is: • 4+ years in data engineering or backend/software engineering with serious data work — pipelines that run in production, not just notebooks. • Strong Python and the PyData stack (NumPy, PyArrow, Pandas, DuckDB). • Some background in research, algorithms, or ML — enough that you can read a paper, understand a model's outputs, and have informed conversations with algorithm engineers. • Comfort working with vision-model outputs as data: embeddings, detection results, VLM responses. • Ability to work across team boundaries — this role lives between algorithm teams, infra teams, and our own. Nice to have: • Experience with autonomous-driving datasets or perception pipelines. • 3D geometry and camera model intuition (or the mathematical background to ramp up). • Workflow orchestration (Argo, Airflow, Kubeflow). • Vector databases or columnar analytics (LanceDB, DuckDB, Parquet at scale). • Familiarity with curation concepts (active learning, hard-example mining, distribution balancing) — useful context, not a requirement. • Exposure to LLM agents or agentic workflows for data tasks.

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. • 8+ 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 is seeking a highly motivated and dynamic Technical PM to join our Platform Software department and play a key role in shaping the future of autonomous driving systems. This is a unique opportunity to work with top-tier engineering teams and take part in the development of Mobileye’s most advanced systems. What will your job look like: • Lead the end-to-end execution of project deliverables, including requirements definition, planning, execution, and delivery. • Drive and participate in technical discussions, proactively remove obstacles, and act as both the unifying force within the team and the leader setting direction. • Ensure timely and high-quality delivery of complex, multidisciplinary projects. • Coordinate work across a large cross-functional organization, covering diverse aspects of the system: from algorithm acceleration to sensor integration, from OS development to advanced in-vehicle visualization. • Represent the group in project-level forums, prepare status reports, and communicate effectively with senior management. • Collaborate closely with R&D groups, engaging in technical discussions within a highly multidisciplinary environment. All you need is: • B.Sc. in Computer Science, Electrical Engineering, or a related Engineering/Scientific field- Must. • 10+ years of experience in technical project/program management, system engineering, or agile team leadership, with a strong technical background. • Solid experience in system design, architecture, and software development. • Exceptional problem-solving, organizational, and analytical skills, with a proven ability to take initiative and build strong, productive relationships. • Excellent leadership, communication, and stakeholder management skills. • Fluency in Hebrew and English. 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 EyeQ Platform Group is looking for a talented Embedded SW Developer to join our Haifa team. In this role, you will be at the heart of our SoC (System on a Chip) validation, specifically responsible for the Video Interface Unit- the "eyes" of our autonomous driving technology. You will write high-performance, object-oriented C++ code on Mobileye’s proprietary validation OS, interface with low-level drivers, and take a lead role in complex board bring-up processes. If you thrive on solving "impossible" hardware-software puzzles alongside HW engineers, this is the place for you. What will your job look like: • Design and implement robust C++ code for multi-threaded, multi-core environments running on advanced MIPS and RISC-V architectures. • Develop Video Interface drivers and frameworks, maintaining and scaling existing systems to support next-gen SoC capabilities. • Board bring-up activities and debug complex systems on Mobileye’s proprietary Silicon. • Utilize on-SoC scripting engines to provide flexibility and interactive SoC usage for internal and external stakeholders. All you need is: • BSc in Computer Science, Computer Engineering, or Electrical Engineering. • 5+ years of hands-on experience in C++ programming and Embedded SW development. • Proven ability to work with HW specifications and develop SW in Bare-metal or RTOS environments. • Strong experience in HW/SW integration and debugging on real SoC environments. • Knowledge in shell scripting and Python. • Understanding of embedded systems architecture (IOs, I2C, SPI, and other interconnect buses)- 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 looking for a Senior Embedded System Architect to define and drive the architecture of complex embedded computing platforms, from product needs through design, integration, validation and production. You will translate customer and product needs into clear architectures and requirements, lead cross-domain technical decisions and ensure our systems are robust, scalable, observable, diagnosable, testable and maintainable throughout their lifecycle. The role spans hardware, embedded software, SoCs and MCUs, networking, memory and storage, power management, boot and update flows, diagnostics, safety mechanisms and system integration. ** This role requires working from our Petah-Tikva site 1 day per week. What will your job look like? • Own system architecture for complex embedded platforms and major platform capabilities. • Translate product and customer needs into system concepts, architectures, interfaces and clear requirements. • Define functional decomposition, hardware and software partitioning, responsibilities, data flows and control flows. • Drive architectural decisions across compute, memory, storage, networking, power, boot, diagnostics, software update, security and monitoring. • Lead technical alignment across system, hardware, embedded software, validation, safety, security, program teams, customers and technology partners. • Analyze system performance, availability and reliability constraints and convert them into architectural decisions. • Identify architectural gaps and risks early, define mitigationsand drive complex cross-domain issues to closure. • Balance functionality, performance, cost, complexity, safety, reliability and product constraints. All you need is: • B.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or a related discipline. M.Sc. is an advantage. • 5+ years of experience in system architecture, system engineering, or development of complex embedded systems. • Strong understanding of embedded architecture across hardware and software boundaries, including SoCs, MCUs, processors, memory, storage and peripherals. • Proven experience defining system architectures, interfaces, requirements, functional decomposition and hardware and software partitioning. • Strong analytical and debugging capabilities for complex multidisciplinary systems. • Ability to lead technical decisions and align multiple engineering teams without relying on direct authority. • Excellent communication skills and the ability to explain complex technical topics clearly to diverse stakeholders. Nice to have: • Experience with automotive, safety-critical, or high-performance embedded systems. • Experience with ASPICE, ISO 26262, Polarion, DOORS, or similar development and requirements frameworks. • Experience working with customers, semiconductor vendors or 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!

We are seeking a Senior Technical Project Manager to lead complex Autonomous Vehicle programs, including next-generation Robotaxi and Driver-Out deployments. This role is focused on driving outcomes, not maintaining project plans. You will work across engineering, product, validation, operations, safety, customers, and executive leadership. You will navigate ambiguity, challenge assumptions, uncover hidden risks, remove obstacles, and create alignment in high-pressure environments where priorities and constraints constantly evolve. The role requires working from our Jerusalem office one to two days per week. What will your job look like? • Own the end-to-end execution of business-critical Robotaxi and Autonomous Vehicle programs. Translate customer commitments, product requirements, and engineering constraints into realistic, actionable plans. Coordinate delivery across engineering, product, validation, safety, platform, cybersecurity, manufacturing, and operations teams. • Continuously test assumptions, schedules, requirements, and proposed solutions. Identify gaps, inconsistencies, dependencies, and blind spots before they affect delivery. Lead root-cause analysis and promote decisions based on facts, data, and objective reality. • Proactively identify execution risks, resource gaps, dependency conflicts, and organizational bottlenecks. Drive resolution across stakeholders, escalate when necessary, and maintain momentum until issues are fully resolved. • Lead technical alignment and trade-off discussions while keeping teams focused on program objectives. Serve as a central coordination point for strategic customers and partners, representing Mobileye in technical and program discussions with OEMs, operators, suppliers, and partner organizations. • Establish milestones, success metrics, and execution indicators. Communicate progress, risks, dependencies, decisions, ownership, and recovery plans clearly to teams and senior leadership. Improve tools, processes, workflows, and organizational interfaces to increase predictability, accountability, and delivery velocity. All you need is: • B.Sc. in Computer Science, Electrical Engineering, Systems Engineering, or a related technical field. • At least five years of experience leading complex technical programs, products, or engineering organizations. • Strong systems thinking, critical thinking, analytical ability, communication, and stakeholder management. • Proven success driving cross-functional execution and influencing without direct authority. • Fluent English and Hebrew, with willingness to travel internationally. • Experience in Autonomous Vehicles, ADAS, robotics, automotive, aerospace, safety-critical systems, integrated software-hardware products, validation, verification, release management, system integration, deployments, or customer-facing technical leadership is highly valued. 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 motivated and dynamic Technical PM to join our Platform Software department and play a key role in shaping the future of autonomous driving systems. This is a unique opportunity to work with top-tier engineering teams and take part in the development of Mobileye’s most advanced systems. What will your job look like: • Lead the end-to-end execution of project deliverables, including requirements definition, planning, execution, and delivery. • Drive and participate in technical discussions, proactively remove obstacles, and act as both the unifying force within the team and the leader setting direction. • Ensure timely and high-quality delivery of complex, multidisciplinary projects. • Coordinate work across a large cross-functional organization, covering diverse aspects of the system: from algorithm acceleration to sensor integration, from OS development to advanced in-vehicle visualization. • Represent the group in project-level forums, prepare status reports, and communicate effectively with senior management. • Collaborate closely with R&D groups, engaging in technical discussions within a highly multidisciplinary environment. All you need is: • B.Sc. in Computer Science, Electrical Engineering, or a related Engineering/Scientific field- Must. • 10+ years of experience in technical project/program management, system engineering, or agile team leadership, with a strong technical background. • Solid experience in system design, architecture, and software development. • Hands-on experience using AI tools (e.g. Cursor, Copilot, ChatGPT) effectively, including prompt engineering, to accelerate analysis, documentation, and day-to-day technical work. • Exceptional problem-solving, organizational, and analytical skills, with a proven ability to take initiative and build strong, productive relationships. • Excellent leadership, communication, and stakeholder management skills. • Fluency in Hebrew and English. 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 Product Validation department is looking for a Validation Engineer. Our department is responsible for delivering high-quality ADAS (Advanced Driver Assistance Systems) products. We are the first line of support for Mobileye’s customers around the globe, and as our Validation Engineer, you will interact with most of Mobileye’s departments to achieve Mobileye’s goals. What will your job look like: • Perform system-level validation of embedded systems, covering both hardware and software, with a strong focus on functional testing • Design and maintain test environments, including lab setups, test systems, and configurations. • Write and execute test plans and test cases based on system requirements, including manual and automated tests. • Conduct hands-on debugging and integration of hardware and software systems in a laboratory environment. • Validate communication protocols and system interfaces, and perform hardware bring-up and integration testing. • Install and support debug systems and sensors on development vehicles and assist automotive customers during integration. All you need is: • B.Sc. in Electrical Engineering, Mechanical Engineering, or Communications Systems Engineering (or an equivalent field). • 2-5 years of experience in integration or validation. • Proven experience with embedded systems testing. • Hands-on experience with CI tools, such as Jenkins. • Hands-on experience with Linux-based systems. • Working knowledge of Python, including experience debugging Python code. • Experience with networking \ communication interfaces and protocols. • Experience in test infrastructures, lab environments, and test setups. • Strong analytical, debugging, and problem-solving skills. • Strong teamwork abilities and excellent interpersonal communication skills. • Familiarity with defect tracking and validation tools (e.g., Jira) -an advantage. • Fluent in English and Hebrew. 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 AV Sensing group is responsible for the critical and challenging task of object detection and scene comprehension using LiDAR and Radar sensors. Our team develops scalable infrastructure and software solutions for processing, validating, and working with complex 3D sensor data. What will your job look like: • Lead and mentor a team of ~5 Software and Algorithm Developers, while staying closely involved in technical decisions, system design, and architecture. • Design and build scalable data infrastructure and software solutions that support large-scale data workflows for Algorithm and Deep Learning teams. • Develop Python-based libraries, data workflows, validation and monitoring systems for large-scale sensor data. • Work closely with Algorithm and Deep Learning teams to understand their needs and translate them into scalable software and data solutions. • Build and maintain development infrastructure, including databases, dashboards, CI/CD pipelines, and automated documentation. • Contribute to technical solutions involving 3D data, calibration, coordinate transformations, and geometric concepts. All you need is: • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field. • 2+ years of experience leading, mentoring, and developing engineering teams. • Strong foundation in algorithms, data structures, and algorithmic complexity. • 5+ years of hands-on Software / Backend engineering experience, with strong Python skills and experience building large-scale production systems. • Strong experience designing and building scalable data-intensive systems, including distributed architectures, databases, cloud-based services, and microservices. 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 Strategic Account Manager to lead complex commercial engagements with leading automotive OEMs and Tier 1s in the ADAS ecosystem to join our dynamic Sales team. This role included managing long cycle, multi stakeholder deals from early positioning through RFQ to final commercial negotiation and execution. In this role, you’ll have the opportunity to build relationships with industry-leading OEMs and lead the Sales lifecycle of our advanced SOC software solutions for ADAS applications. What will your job look like? • Own and drive Sales activities for strategic OEM accounts, leading commercial strategies end to end. • Create long term relationships with strategic customers through proactive engagement, strong negotiation, and consistent value delivery. • Manage the entire sales process from RFQ/RFI review to issuing competitive price indications and negotiating commercial terms across 12 to 24 month sales cycles. • Lead the commercial aspects with strategic customers, including direct engagement with procurement and executive stakeholders. • Be the single point of contact for customer commercial inquiries, ensuring a seamless communication flow and outstanding customer experience across complex internal and external stakeholder environments. • Translate complex technical capabilities into clear business and commercial value propositions that resonate with clients. • Work in a team supporting multiple OEMs and Tier 1s in driving success together while aligning closely with BD, product, finance, legal, and executive teams to move deals forward. • Drive momentum and push deals forward despite internal and external friction, ensuring progress in complex and political sales environments. All you need is: • BA degree; an MBA is a plus. • 5 years of experience in a similar high tech role, demonstrating your expertise in a fast paced environment with exposure to long sales cycles and complex deal structures. • Strong background in technical sales, capable of navigating complex negotiations and sales processes with ease while positioning value rather than selling pure technical features. • Strong analytical skills, with the ability to interpret volumes, pricing, and commercial data to support decision making. • A natural ability to connect with clients and build long term, trust based relationships at senior levels. • Experience in complex projects involving both HW and SW developments. • Detail oriented and capable of keeping the big picture in mind to make strategic decisions. • High level of proficiency in both verbal and written English to engage effectively with global stakeholders. • Solid understanding of technical business principles, particularly in the automotive ADAS/AV market with the ability to maintain credibility in front of engineering teams without being a deep technical expert. • Experience with tools like Jira and Salesforce to enhance productivity and track engagement efficiently. • High level of professionalism, strong ownership mentality, and the ability to work cross functionally with a team while independently driving outcomes. 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 AV Validation teams are looking for an experienced Python developer with a strong background in data analytics and AI-enabled tools to develop metrics, methodologies, and applications for evaluating autonomous-vehicle sensing performance. The AV Validation organization is responsible for evaluating the safety, quality, and performance of autonomous-vehicle systems. Our team combines large-scale validation data, analytics, and modern AI capabilities to develop tools and methodologies that help engineers understand sensing behavior, identify performance gaps, and measure progress across AV software versions. What will your job look like: • Design, develop, and maintain Python-based analytics applications and internal tools for AV validation • Develop metrics, reports, and methodologies for measuring Sensing State performance across software versions. • Build tools for event investigation, data exploration, visualization, and actionable reporting. • Develop and evaluate AI-enabled capabilities for analysis, classification, root-cause investigation, and knowledge extraction. • Define evaluation datasets, quality metrics, and regression tests for AI-assisted analysis tools. • Collaborate with Algorithms, Data, and Validation teams to turn analytical findings into reliable, maintainable products. All you need is: • B.Sc. in Computer Science, Engineering, or a related field; relevant IDF or equivalent practical experience is also welcome. • 3–5 years of professional Python development experience in analytics, automation, data-intensive applications, or internal tools. • Strong hands-on experience with data-processing and visualization libraries such as Pandas, NumPy, Matplotlib, Plotly, or similar. • Experience analyzing complex datasets and translating findings into practical metrics, tools, and engineering decisions. • Strong understanding of data structures, algorithms, software design, debugging, testing, and maintainable code. • Experience applying machine-learning or generative-AI capabilities in software products, analytical workflows, or developer tools. • Familiarity with SQL, Linux, and version-control workflows; experience with AWS, ETL/data platforms, dashboards, LLM applications, agentic workflows, AI evaluation, or scikit-learn/PyTorch/TensorFlow is 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!

We are looking for a Senior ML Algorithm Engineer to lead the development and optimization of machine learning models for challenging real-world problems. In this role, you will work hands-on across the full model-development lifecycle: understanding the task, designing and adapting algorithms, building effective training strategies, analyzing data and failure modes, and improving model quality and efficiency through rigorous experimentation. This is an algorithm-focused role for someone who enjoys getting deeply involved in the details of model training and optimization. You will not simply operate an existing training infrastructure—you will investigate open-ended problems and develop practical solutions involving model architecture, data and sample selection, training objectives, optimization methods, and evaluation What will your job look like: • Work on the semantics of road objects, using harvested tabular data as the primary input to our algorithms — turning large-scale, real-world observations into models that capture object meaning, attributes, and behavior on the road network. • Design, implement, and optimize machine learning and deep learning algorithms for these semantic tasks, from architecture and training objectives through evaluation and efficiency. • Develop and improve end-to-end model training pipelines, from data preparation and sampling of harvested tabular datasets through training and evaluation. • Investigate model behavior, identify failure modes, and drive targeted algorithmic improvements. • Develop effective strategies for data selection, dataset composition, sampling, augmentation, loss design, and training schedules. • Lead the investigation of complex algorithmic challenges, uncover patterns in data and model behavior, and translate insights into measurable improvements. All you need is: • 5+ years of experience in algorithm engineering using machine learning, deep learning, or neural networks. • Strong hands-on experience designing, training, evaluating, and optimizing. • Strong programming skills in Python. • Hands on experience with Spark, Pandas, Pytorch and AWS. • Experience with Polars and DuckDB- an advantage • Experience with some of the following: sampling strategies, data augmentation, hyperparameter optimization • Strong understanding of distributed systems, scalability, and performance optimization. • Ability to independently investigate complex problems, identify patterns in data and model behavior, run experiments, and translate findings into measurable algorithmic improvements. • Strong analytical and problem-solving skills, with a practical, hands-on, and ownership-driven mindset. 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!