Mobileye

We are looking for a Hardware Team Lead to manage our Board Design and Layout team within the AV department. In this critical role, you will lead the development of cutting-edge automotive products, driving the design and delivery of high-performance electronic boards and systems. You will provide technical leadership, guide the engineering team, and ensure projects are delivered with the highest standards of quality, performance, and innovation. What will your job look like? • Lead and manage a team of Board Design and Layout engineers, providing technical direction, mentorship, and support. • Lead hardware projects end-to-end, from architecture and design through validation and mass production. • Provide technical leadership throughout the projects, guiding the team on key technical decisions and supporting them in addressing complex challenges. • Collaborate with cross-functional internal teams to drive successful project execution. • Build and maintain strong customer relationships, understand their technical needs, and serve as a key technical point of contact throughout the project. All you need is: • Bachelor’s or Master’s degree in Electrical Engineering or a related field. • 8+ years of hands-on experience in hardware board design. • 3+ years of experience in a managerial role. • Strong foundation in digital circuits, power systems, and high-speed board design. • Broad system-level understanding, including HW/SW interfacing, validation, verification, DFT, and qualification. • Strong analytical skills with the ability to work independently and perform well under pressure. 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 Senior Information Security Engineer who will be part of the InfoSec team. The InfoSec team manages all security aspects such as inbound and outbound access, defense systems and protection in Israel and abroad. In this role, you will be responsible for all related security systems end to end, you will need a strong technical understanding as well as learn new content areas quickly. You will be part of the Information Technology department with a relationship with all the departments in the company and the CISO's team. This position requires on-site presence at our Jerusalem campus 3-4 days per week during the first three months. Following this period, a hybrid arrangement with some work from our central Israel sites may be possible. What will your job look like? • Manage Firewall. NAC, Proxy, Mail gateways, VPN and more • Configure and troubleshoot security devices, infrastructure and systems • Planning, researching and deploying security policies • Optimize current solutions and implement new solutions • Provide L2 support All you need is: • 5+ years of hands-on experience with relevant systems in security and cyber fields in large and dynamic environments. • Experience with firewall systems, including configuration, monitoring, troubleshooting, and implementation of network security policies. • Hands-on experience working with Windows and Linux environments. • B.Sc. in Computer Science / Information Systems / Security certifications (Security +, CISSP, ...) - advantage. • Strong teamwork and knowledge-sharing 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!

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!

Mobileye Autonomous Driving software group is looking for an OS expert with strong knowledge in the Linux Kernel. As a Linux Operating System architect, you will be responsible to work with system and SW architecture teams to define OS solutions to satisfy customer requirements for the autonomous vehicle world. This involves security and connectivity components in Mobileye’s Safety critical Linux OS involving both the Kernel and the user space worlds. This is an exciting and unique opportunity to work with highly talented Linux OS team and be a leader in the development of the Linux as a platform for the Safety Critical Automotive industry. What will your job look like: • Defining and designing OS solutions for the security and high-speed connectivity requirements. • Conducting PoC activities to verify architectural decisions and resource allocation involving SW Simulators. • Writing architectural design specification documents, defining KPIs and testing criteria. • Working with the development teams closely to review design and test plan documents. • Performing performance analysis to maximize performance and optimize HW utilization while maintaining the real time behavior. All you need is: • Strong knowledge in Operating Systems in general and experience with the Linux Kernel specifically. • Proven experience in writing architectural specifications and conducting architectural reviews. • Strong experience in performance analysis and debugging techniques. • Experience with the MIPS & RISCV HW architecture and their implementation in the operating system. • Previous experience in PCIe and Security is a big advantage. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

We are seeking an Experienced ATE Engineer with extensive hands-on experience supporting high-volume manufacturing (Mass Production) environments, automated test systems, and global manufacturing operations. This role requires proven expertise in troubleshooting complex technical issues, performing Root Cause Analysis (RCA), and driving continuous improvement initiatives to enhance product quality, production efficiency, and operational stability. Strong system-level understanding across hardware, software, automation, and manufacturing processes, with a demonstrated ability to optimize test performance, reduce downtime, improve KPIs, and support manufacturing sites throughout the product lifecycle. This position includes regularly providing on-site support to international manufacturing locations, including quarterly business travel, ensuring rapid issue resolution and successful process deployment. What will your job look like? • Support, maintain, and optimize Automated Test Equipment (ATE) systems. • Provide ongoing support for high-volume production lines and manufacturing operations. • Perform complex troubleshooting and Root Cause Analysis (RCA) of production and test-related failures. • Investigate and resolve system-level issues across hardware, software, automation, and manufacturing domains. • Drive process optimization initiatives to improve efficiency, quality, and production throughput. • Monitor and analyze production performance, yield, and key performance indicators (KPIs). • Develop and implement automation, monitoring, and reporting tools. • Collaborate closely with Software, Hardware, Integration, Quality, and Production teams. All you need is: • B.S.c in Electrical Engineering, Computer Science, or related technical field. • Extensive experience in Mass Production and manufacturing support environments. • Proven experience working with Automated Test Equipment (ATE) and production test systems. • Strong Python skills for automation, debugging, data analysis, and test tool development. • Strong troubleshooting, Root Cause Analysis, and problem-solving capabilities. • Broad system-level understanding and the ability to investigate complex multidisciplinary issues. • Experience driving process optimization and continuous improvement initiatives. • Ability to work independently in a fast-paced environment while managing multiple priorities. • Willingness to travel internationally on a regular basis, at least once per quarter, to support manufacturing sites and critical production activities. Nice to have: • Experience with Automotive, RF, or Radar-based systems. • Experience supporting global manufacturing sites. • Familiarity with MATLAB and data analysis tools. • Experience with JIRA and issue-tracking systems. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

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!

We are Object Perception group at Mobileye, developing deep learning–based perception systems for autonomous driving. Our work spans scene understanding, multi-camera reasoning, 3D modeling, and behavior prediction. We are looking for a senior computer vision engineer: a hands on individual contributor whose work will be broad and touch many projects across the group, to lead long-term research initiatives and POCs that shape the technical direction of our technology. What will your job look like: • Lead long-term applied research and POCs that determine the direction of our perception and autonomy technology. • Design and implement modern end-to-end perception and multi-modal learning systems across diverse vision tasks (e.g., detection and tracking, 3D reconstruction, multi-camera fusion, motion prediction). • Translate research innovations into high-quality, validated POCs designed for adoption by production teams and deployment within autonomous vehicle platforms. All you need is: • M.Sc. in Mathematics, Computer Science, Electrical Engineering, or related field (PhD - an advantage). • 8+ years of hands-on experience developing computer vision and deep learning systems. • Proven experience driving vision models from research through POC and into production. • Able to take a vaguely-defined research direction and own it end-to-end, independently. • Strong programming skills in Python. Nice to have: • Broad hands-on experience across vision tasks such as object detection and tracking, and 3D scene understanding. • Technical leadership experience (team management experience an advantage). • Experience in motion prediction, trajectory forecasting, behavior modeling, or learning-based navigation for autonomous systems. • First-authored publications at leading peer-reviewed conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICML, ICLR). 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 CTO Group is a small, elite team focused on the decision-making module of Mobileye's autonomous driving system. Our mission is to solve some of the hardest problems in autonomous driving by combining the full spectrum of modern computer science - from rigorous mathematical modeling, optimization, and algorithm design to deep learning. The team develops the driving policies that translate system-wide inputs into safe, efficient, and human-like driving behavior. Our work spans classical algorithms, optimization under constraints, probabilistic reasoning, reinforcement & supervised learning, all grounded in real-world driving data. The group is comprised of top researchers and developers and is led by world-class scientists, offering a unique opportunity to work closely with the CTO, shape the future of autonomous driving, and influence the company's technical direction. What will your job look like: • Research and develop innovative algorithms for autonomous driving planning and decision-making. • Model complex real-world driving scenarios and formulate them as optimization, learning, or algorithmic problems. • Apply a broad range of techniques - from mathematical modeling and classical algorithms to machine learning and deep learning - to improve driving policies. • Analyze large-scale driving data to gain insights, validate hypotheses, and improve system robustness and performance. • Design and implement high-quality production-ready code in a research-driven environment. • Read, evaluate, and build upon state-of-the-art scientific literature in algorithms, AI, and machine learning. All you need is: • 5+ years of experience in algorithm development, machine learning, or AI research. • Outstanding MSc in Computer Science, Computer Engineering, Mathematics, Physics, or a related quantitative field. • PhD - an advantage. • Strong programming skills in C++ and Python. • Outstanding mathematical and analytical abilities. • Passion for solving challenging research problems and the ability to quickly learn from scientific literature. 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 Compute HW Platform Manager to lead our Board Design and Layout team within the AV department. In this role, you will lead compute hardware development for autonomous driving, from board design and layout through validation and mass production at volumes of millions of units. You will influence architecture, provide technical and managerial leadership, and ensure platform quality, performance, reliability, and manufacturability at production scale. What will your job look like? • Lead and manage a team of Board Design and Layout engineers, providing technical direction, mentorship, and support. • Lead compute hardware platform projects end to end, from architecture and design through validation and mass production. • Guide key technical decisions and support the team in solving complex hardware and system-level challenges. • Drive collaboration with cross-functional teams to ensure successful platform development and project execution. • Build strong customer relationships, understand their technical needs, and serve as a key technical point of contact throughout the project. All you need is: • Bachelor’s or Master’s degree in Electrical Engineering or a related field. • 8+ years of hands-on experience in hardware board design. • 3+ years of experience in a managerial role. • Strong knowledge of digital circuits, power systems, and high-speed board design. • Broad system-level understanding, including HW/SW interfaces, validation, verification, DFT, and qualification. • Strong analytical skills and the ability to work independently and perform well under pressure. 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!

You will be part of Mobileye's REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, which is a key technology in Mobileye's autonomous driving and high-end Driving Assistance systems. You will be joining the team that builds the state-of-the-art AI-powered relevancy systems at scale. You will be designing and implementing semantic understanding engines that power data-driven products across autonomous driving and beyond, combining cutting-edge Computer Vision, Graph Neural Networks, and efficient inference to solve real-world perception challenges. What will your job look like: • Conduct hands-on research and development of AI and Deep Learning algorithms for real-world automotive perception tasks. • Own projects end-to-end — from concept, through research, prototyping, designing, training, and evaluating neural network architectures, to integration and scalable deployment. • Analyze challenging edge cases and continuously improve model performance in complex driving scenarios. • Collaborate with algorithm developers, software engineers, product managers and system teams across the organization. • Work with large-scale datasets and real-world driving scenarios to improve model accuracy, robustness, and runtime efficiency. • Bring your ideas into production-ready systems that have a direct, measurable impact on autonomous vehicle technologies used worldwide. All you need is: • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance. • 3+ years of hands-on experience developing deep learning solutions using Python and frameworks such as PyTorch. • Solid foundation in Algorithms, Machine Learning, and Deep Learning fundamentals (Computer Vision / Graph Neural Networks – advantage). • Strong analytical skills, a sense of ownership, and the ability to work collaboratively. Nice to have: • Experience leveraging AI agents and modern productivity tools in development workflows. • Experience with cloud environments and big data tools. 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 Autonomous Driving software group is looking for an OS expert with strong knowledge in the Linux Kernel. As a Linux Operating System architect, you will be responsible to work with system and SW architecture teams to define OS solutions to satisfy customer requirements for the autonomous vehicle world. This involves security and connectivity components in Mobileye’s Safety critical Linux OS involving both the Kernel and the user space worlds. This is an exciting and unique opportunity to work with highly talented Linux OS team and be a leader in the development of the Linux as a platform for the Safety Critical Automotive industry. What will your job look like: • Defining and designing OS solutions for the security and high-speed connectivity requirements. • Conducting PoC activities to verify architectural decisions and resource allocation involving SW Simulators. • Writing architectural design specification documents, defining KPIs and testing criteria. • Working with the development teams closely to review design and test plan documents. • Performing performance analysis to maximize performance and optimize HW utilization while maintaining the real time behavior. All you need is: • Strong knowledge in Operating Systems in general and experience with the Linux Kernel specifically. • Proven experience in writing architectural specifications and conducting architectural reviews. • Strong experience in performance analysis and debugging techniques. • Experience with the MIPS & RISCV HW architecture and their implementation in the operating system. • Previous experience in PCIe and Security is a big advantage. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye is looking for an Algorithm Developer, who will be challenged by solving problems from the real world using Computer Vision and Signal Processing. Our mission in the Algorithms department has a significant impact on autonomous driving technologies and on saving lives. In this position, you will combine classic programming and algorithm development in Python/C++, you will be responsible for both maintaining the product and developing new features. As an Algorithm Developer, you will learn and develop new algorithms which can address new problems and challenges to solve as they arise. The work at Mobileye’s algorithms department is dynamic and includes hands-on work in running the process from the early stage of research to bringing the product to production, in collaboration with other teams at Mobileye. What will your job look like: • Your job will include a combination of classic programming and algorithm development. • You will develop in both C++ and python. • You will need to both maintain the product and develop new features. • You will need to learn and develop new algorithms which can address new problems as they arise. All you need is: • M.Sc. in Mathematics, Physics, or Computer Science. • Experience in development in C++ – strong advantage. • Proven ability to solve complex problems. Nice to have: • Experience in Python and NumPy. • Experience in statistical estimation. 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 strong C++ Developer to join the Lidar&Radar Deep Learning group and play a key role in building production-level systems around our core 3D sensing, perception, and deep learning algorithms. This is a rare opportunity to build the software layer bringing cutting-edge computer vision neural network models into efficient, reliable, production-ready systems running on edge devices in autonomous vehicles. You will be part of a small, growing group working closely with algorithm developers to bring cutting-edge 3D perception models into real-world vehicle systems. This is a hands-on role with high ownership, combining deep C++ development, neural network integration, system optimization, and production delivery. The role is ideal for someone who is excited by the intersection of modern C++ engineering, real-time systems, and deep learning deployment for high-precision 3D sensing — and who wants to grow over time into a broader technical leadership position. ** The role includes working on-site at our Jerusalem office several days per week. What will your job look like: • Design and implement large-scale C++ systems around AI and algorithmic pipelines for 3D sensing and perception in a real-time, vehicle-oriented environment. • Integrate neural network models into production software — including model runtime integration, sensor/data flow, pre/post-processing, and system-level validation. • Work closely with deep learning, computer vision, and 3D algorithm teams to take models from research/prototype stage into robust production systems on the vehicle. • Build and own application-level infrastructure that enables algorithmic and neural network solutions to run efficiently on edge devices under strict latency and resource constraints. • Optimize runtime performance, memory usage, latency, and throughput for high-precision 3D perception workloads in resource-constrained environments. • Contribute to neural network deployment flows, such as model conversion, inference execution, profiling, and optimization. • Lead end-to-end development of features — from design and implementation to integration, testing, and deployment. • Take part in building CI/CD processes, automated testing, and development workflows for production algorithm systems. • Debug complex real-time systems involving C++ infrastructure, 3D algorithmic logic, and neural network execution. • Collaborate with multiple teams across Mobileye, gaining deep exposure to both system architecture and state-of-the-art 3D sensing and AI algorithms. All you need is: • B.Sc. in Computer Science, Software Engineering, or equivalent. • 2+ years of hands-on C++ development experience. • Strong understanding of object-oriented design, software architecture, and large-scale system development. • Experience working in Linux environments. Nice to have: • Hands-on Python experience, including the PyData stack (NumPy, Pandas). • Experience with performance optimization, memory efficiency, and real-time systems. • Familiarity with CI/CD processes and automated testing. • Experience working closely with algorithm, computer vision, deep learning, 3D perception, or data teams. • Experience with workflow orchestration tools (Airflow, Argo). • Experience in data engineering or backend systems with large‑scale data (production environments). 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 Radar Team develops cutting-edge radar technology for autonomous driving (AV) and advanced driver-assistance systems (ADAS). We are looking for a Cyber Security Architect to lead the design and implementation of robust embedded security solutions that protect our radar systems from cyber threats. In this role, you will define security architecture for radar hardware, embedded software, and communication interfaces, ensuring compliance with automotive cybersecurity standards and safeguarding Mobileye’s mission-critical sensing technology. You’ll be part of a team shaping the future of autonomous driving. Our radar technology is a critical component in delivering safe, reliable, and intelligent mobility solutions. You’ll work on innovative projects in a collaborative environment, with the opportunity to influence security strategy at a global scale. What will your job look like: • Security Architecture Design – Develop and maintain end-to-end security architecture for radar systems, including hardware, firmware, and software components. • Threat Modeling & Risk Assessment (TARA) – Perform Threat Analysis and Risk Assessment for radar components, software modules, and communication channels; identify vulnerabilities and design mitigation strategies. • Secure Communication – Implement encryption, authentication, and integrity checks for radar data transmission between hardware and software layers. • Secure Software Design – Define and enforce security controls for APIs, middleware, and integration points between radar systems and other vehicle subsystems. • Compliance & Standards – Ensure radar systems meet ISO 21434, UNECE WP.29, and other relevant automotive cybersecurity regulations. • Collaboration with R&D – Work closely with radar engineers, embedded software developers, and system architects to embed security into the design process. • Incident Response Support – Provide architectural guidance during security incidents involving radar systems. • Technology Evaluation – Assess and recommend security tools, frameworks, and methodologies for radar-specific applications. All you need is: • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, Cybersecurity, or related field. • 7+ years of experience in cybersecurity roles, with at least 3 years in architecture or senior design positions. • Proven experience securing embedded systems - hardware connections, software modules, and real-time communication protocols. • Strong background in system architecture - ability to design and analyze complex, multi-component systems and ensure security is integrated at every layer. • Strong knowledge of cryptography, secure boot, firmware integrity verification, and secure API design. • Excellent communication and documentation abilities. • Strong problem-solving mindset and ability to work in cross-disciplinary teams. Nice to have: • Experience in radar system development or RF engineering. • Experience with automotive cybersecurity standards (ISO 21434, UNECE WP.29). • Understanding of CAN, Ethernet, and automotive communication protocols. • Knowledge of AI/ML security considerations. • Certifications such as CISSP, CCSP, or CEH. 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 and AV applications and our Radar solutions. 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. • 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!

Mobileye is a global leader in autonomous vehicle (AV) technology. If you’re an experienced deep learning developer driven by a passion to shape the future of mobility, join us to make AV a reality. The 3D Perception team builds transformer-based vision models trained on large-scale driving video for the next generation of autonomous vehicles. Our end-to-end temporal network fuses multi-view cameras into a unified 3D sensing state that powers planning. What will your job look like? • Develop, implement and optimize state-of-the-art transformer-based temporal vision models. • Extend network capabilities, analyze results and errors, and deliver measurable improvements to the driving scene understanding. • Work shoulder-to-shoulder in a large, collaborative group. • Research and integrate the latest advancements in 3d detection and perception. • Improve algorithmic performance through rigorous experimentation and innovation. • Work with large-scale datasets. • Research new advances in the field from the literature and industry. • Code primarily in Python. All you need is: • M.Sc. in Computer Science or a related field. • 3+ years of experience developing, implementing, training and analyzing deep learning algorithms in Python. • Top-tier mathematical, analytical, and coding skills. • Strong self-learner and research capabilities with a proven track record from industry or academia. Nice to have: • PhD in Computer Science or a related discipline. • Experience in computer vision, multi-view geometry and 3D reconstruction.

Mobileye’s Hawkeye team is developing advanced close-range 3D perception for autonomous vehicles, enabling safe automated parking and low-speed maneuvers in tight environments. We build multi-camera deep learning systems for precise and reliable understanding of the vehicle’s surroundings. What will your job look like: • Research and develop cutting-edge end-to-end 3D perception models combining geometry and semantics. • Work on 3D Semantic Occupancy, Geometry Reasoning, 3D Reconstruction, 3D Object Detection, and related tasks. • Innovate in multi-view fusion, motion handling, and spatial representation learning. • Deliver models that run on real vehicles and integrate into production systems. All you need is: • 4+ years of hands-on experience in Machine Learning and Deep Learning. • M.Sc. in a relevant field (Machine Learning / Computer Vision / Robotics / similar). • B.Sc. from a leading university. • Strong Python development skills. • Highly motivated, hard-working, proactive, and driven to solve challenging problems. • Ability to operate in a fast-paced research & development environment. Nice to have: • PhD or relevant academic publications. • Experience with Linux, Git, Docker, C++. • Knowledge in 3D perception, computer vision, or robotics. • Industry experience working on CV and Deep Learning. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye’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 develops purpose-built hardware and AI technologies that power advanced driver-assistance and autonomous-driving solutions. Our EyeQ™ SoCs and imaging radar technologies are designed to deliver scalable, automotive-grade performance and help enable safer mobility worldwide. Join our advanced packaging team and take ownership of package-substrate layout for cutting-edge digital and RF products. You will collaborate with silicon, package, SI/PI, PCB, manufacturing, and OSAT teams to deliver high-quality, manufacturable package layouts that meet demanding automotive requirements What will your job look like: • Own IC package-substrate layout from feasibility through manufacturing release. • Perform die placement, bump fan-out, ball-map planning, package-size estimation, and layer planning. • Set up stack-ups, padstacks, design rules, and layout constraints. • Implement high-density bump-to-ball routing for signal, power, and ground nets. • Route high-speed and RF interfaces according to defined SI/PI constraints. • Perform DRC, connectivity, LVS/netlist, and DFM checks. • Generate artwork, fabrication drawings, reports, and release documentation. • Resolve layout-related queries from substrate manufacturers and OSATs. All you need is: • B.Sc. in Electrical Engineering or a related field, or equivalent practical experience. • 5+ years of hands-on IC package-substrate layout experience. • Strong proficiency with Cadence Allegro Package Designer. • Experience with flip-chip BGA, bump fan-out, ball-map optimization, and multilayer substrate routing. • Experience working from schematics, netlists, design rules, and constraint documents. • Good understanding of high-speed layout principles, including differential pairs, length matching, spacing, and return paths. • Good understanding of power-delivery and power-integrity layout principles, including power and ground plane design, current-carrying requirements, and via-array implementation. • Experience with DRC, connectivity verification, DFM, and manufacturing-data release. • Strong attention to detail and the ability to independently own designs through release. Nice to have: • Experience with RF, SiP, multi-die, interposer, or 2.5D package layouts. • Experience with DDR, PCIe, SerDes, MIPI, or UFS interfaces. • Experience with Siemens Xpedition Package Designer or CAM350. • Experience working directly with substrate manufacturers and OSATs. • Experience with scripting for package-layout automation. 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 strong C++ Developer to join the Lidar&Radar Deep Learning group and play a key role in building production-level systems around our core 3D sensing, perception, and deep learning algorithms. This is a rare opportunity to build the software layer bringing cutting-edge computer vision neural network models into efficient, reliable, production-ready systems running on edge devices in autonomous vehicles. You will be part of a small, growing group working closely with algorithm developers to bring cutting-edge 3D perception models into real-world vehicle systems. This is a hands-on role with high ownership, combining deep C++ development, neural network integration, system optimization, and production delivery. The role is ideal for someone who is excited by the intersection of modern C++ engineering, real-time systems, and deep learning deployment for high-precision 3D sensing — and who wants to grow over time into a broader technical leadership position. What will your job look like: • Design and implement large-scale C++ systems around AI and algorithmic pipelines for 3D sensing and perception in a real-time, vehicle-oriented environment. • Integrate neural network models into production software — including model runtime integration, sensor/data flow, pre/post-processing, and system-level validation. • Work closely with deep learning, computer vision, and 3D algorithm teams to take models from research/prototype stage into robust production systems on the vehicle. • Build and own application-level infrastructure that enables algorithmic and neural network solutions to run efficiently on edge devices under strict latency and resource constraints. • Optimize runtime performance, memory usage, latency, and throughput for high-precision 3D perception workloads in resource-constrained environments. • Contribute to neural network deployment flows, such as model conversion, inference execution, profiling, and optimization. • Lead end-to-end development of features — from design and implementation to integration, testing, and deployment. • Take part in building CI/CD processes, automated testing, and development workflows for production algorithm systems. • Debug complex real-time systems involving C++ infrastructure, 3D algorithmic logic, and neural network execution. • Collaborate with multiple teams across Mobileye, gaining deep exposure to both system architecture and state-of-the-art 3D sensing and AI algorithms. All you need is: • B.Sc. in Computer Science, Software Engineering, or equivalent. • 2+ years of hands-on C++ development experience. • Strong understanding of object-oriented design, software architecture, and large-scale system development. • Experience working in Linux environments. Nice to have: • Hands-on Python experience, including the PyData stack (NumPy, Pandas). • Experience with performance optimization, memory efficiency, and real-time systems. • Familiarity with CI/CD processes and automated testing. • Experience working closely with algorithm, computer vision, deep learning, 3D perception, or data teams. • Experience with workflow orchestration tools (Airflow, Argo). • Experience in data engineering or backend systems with large‑scale data (production environments). 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!