Jobs in Ramat Gan

How do you generate a driving scene that stays consistent over time, across cameras, and under controlled changes? These are exactly the types of problems we solve. Mobileye’s Visual GenAI team develops image and video generation capabilities for autonomous driving, with a growing focus on video and world models. We’re looking for a hands-on researcher to help shape our research direction and turn ideas into working capabilities, with access to large proprietary driving datasets and close collaboration with the teams developing Mobileye’s next generation of autonomous driving technology. What will your job look like: • Research and develop image and video generation models, with a focus on temporal consistency, multiview coherence, and controllable driving-scene generation. • Explore and adapt state-of-the-art world models for autonomous driving, helping shape the team’s research and technical direction. • Own the full development lifecycle, from research and experimentation to model training, evaluation, and integration into real-world workflows. • Build scalable, clean Python and PyTorch implementations for training and evaluating generative models. • Collaborate with AI researchers and perception teams to develop generative capabilities for training and evaluating autonomous driving systems. All you need is: • Ph.D. in Computer Science, Electrical Engineering, or a related field. Exceptional M.Sc. candidates with a specialization in Gen AI will also be considered. • 5+ years of industry experience in Deep Learning and Computer Vision, preferably working on generative AI or foundation models. • A hands-on approach and the ability to turn research ideas into working solutions. Nice to have: • Hands-on experience training image or video generation models, including diffusion and flow-based models. • Experience with world models, multiview generation, 3D scene representations, or temporal modeling. • Experience training or adapting foundation models, including Vision-Language Models (VLMs) and other multimodal models. • Experience with distributed training and large-scale datasets. • Publications in top-tier conferences such as CVPR, NeurIPS, ICCV, or ECCV. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye's Automated Driving group is looking for an experienced DFT Engineer. This is an exciting opportunity to join a team of highly talented engineers, working on one of the most cutting-edge technologies - Autonomous Vehicle (AV) SoC. At Mobileye's Automated Driving group, we know that the idea of a fully autonomous car is no longer science fiction, but a reality that we are creating! We have spent more than 15 years developing the world's most Advanced Driver Assistance Systems (ADAS) and we are now leading the computer vision and machine learning domain, reaching fully automated driving experience (AV). What will your job look like: • Develop all the necessary HW / FW / SW for the different modules. • Verify and Validate our design. • Debug and analyze coverage and yield loss. • As a cutting edge technology company, we are working only with the very advanced DFT tools and features, while developing our own methods and DFT concepts – as it required by the Automotive and Safety related products market (ISO26262). All you need is: • At least 5 years of experience in the ASIC/SoC industry. • Excellent communication skills. • BSc or MSc in Computer Engineering or Electrical Engineering. Nice to have: • Proven Experience in either SCAN or MBIST tools and flows. • Knowledge of Hierarchical SCAN methodology. • Knowledge of Logic BIST (LBIST) and Test Point Insertion (TPI) flows. • Knowledge of TAP protocols IEEE 1149.1/1500/1687 (iJTAG). • Knowledge of Synthesis flows. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

As our business continues to grow, we are expanding our Legal team and looking for an experienced Commercial Legal Counsel to join us. In this role, you will support complex global commercial activities, partner closely with business teams, and take an active role in a wide range of legal matters. The role reports to the VP Legal. What will your job look like: • Draft, review, and negotiate a wide range of commercial agreements with global customers. • Lead commercial negotiations with global vendors, partners, and service providers. • Provide practical legal advice on a broad range of commercial and business matters. • Advise on applicable local and international laws and regulatory requirements. • Develop and implement internal legal and compliance processes and procedures. • Lead cross-functional in-house legal projects and work closely with business stakeholders All you need is: • LL.B. from a leading academic institution. • At least 8 years of relevant experience as in-house counsel in a high-tech company and/or in the commercial/high-tech practice of a leading law firm. • Substantial experience drafting, reviewing, and negotiating complex commercial agreements in a global environment, including licensing, data licensing, distribution, procurement, data privacy, and intellectual property matters. • Strong business orientation, with the ability to understand business needs, assess legal risks, and provide practical solutions. • Experience working closely with business teams and multiple stakeholders in a global environment. • Excellent negotiation and communication skills. • Ability to work independently, take ownership, and manage multiple priorities in a fast-paced environment. • A collaborative, team-oriented approach. • Fluent 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!

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 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 is looking for a strong Senior 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. Ideal for engineers passionate about modern C++, real-time systems, and AI deployment, this position offers the opportunity to tackle complex technical challenges and grow into broader leadership. 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. • Optimize runtime performance, memory usage, latency, and throughput for high-precision 3D perception workloads in resource-constrained environments. • 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. • 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. • 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: • 4+ years of hands-on C++ development experience. • B.Sc. in Computer Science, Software Engineering, or equivalent. • Strong understanding of object-oriented design, software architecture, and large-scale system development. • Experience working in Linux environments. • Interest in neural network deployment on edge devices, including inference runtimes, performance optimization, and model integration. • A proactive, ownership-driven mindset, with interest in growing into a broader technical leadership role. Nice to have: • 2+ years Hands-on Python development 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 with algorithm, computer vision, deep learning, 3D perception, or data teams. • Background in 3D computer vision, point clouds / depth, object detection, or embedded/edge AI deployment. • Experience with workflow orchestration tools (Airflow, Argo). • 2+ years 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!

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!

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!

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 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!

The road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision and Geometric Modeling algorithms. We are looking for an Algorithm Developer to help us advance our technology and push the boundaries of what's possible in autonomous driving. What will your job look like: • Research and develop state-of-the-art computer vision and deep learning algorithms for ADAS and autonomous driving. • Participate in the entire development cycle, from initial research and prototyping to deployment on real-time embedded systems within the vehicle. • Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems. • Analyze large datasets to improve algorithm performance and robustness. All you need is: • B.Sc. or M.Sc. in Computer Science or Engineering, with excellent academic performance. • 4+ years of hands-on experience developing deep learning algorithms, preferably in computer vision or perception for autonomous driving systems. • Solid understanding of data structures, algorithms, and deep learning principles. • Hands-on experience in algorithm development. • Strong problem-solving skills and the ability to work independently and as part of a team. Nice to have: • Experience with TensorFlow or PyTorch. • Familiarity with cloud platforms and tools (e.g., AWS, GCP). Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye is looking for an experienced Product Team Manager to lead a team of Product Managers working on complex, multidisciplinary products. We are looking for a strong product leader with excellent product vision, significant ownership, and the ability to quickly learn complex technologies while leading with curiosity, humility, and a hands-on mindset. What will your job look like: • Lead, manage, and mentor a team of experienced Product Managers. • Define product vision, strategy, roadmap, and priorities. • Own the full product lifecycle, from discovery and customer validation through development, launch, and continuous improvement. • Work closely with R&D, customers, BizDev, and cross-functional teams to drive products forward. • Identify gaps, build processes where needed, and deliver effectively even in a fast-paced and ambiguous environment. • Develop a deep understanding of the technology, customers, market, and competitive landscape. All you need is: • 8+ years of Product Management experience, including at least 2 years managing a team of Product Managers. • B.Sc. in Computer Science, Engineering, or a related technical field. • Proven experience in B2B products and complex, multidisciplinary technological environments. • Experience in Physical AI, autonomous systems, robotics, computer vision, 3D/spatial technologies, or similar domains is a strong advantage. • Strong product vision, strategic thinking, and product leadership capabilities. • High sense of ownership, resilience, and the ability to operate effectively in ambiguity. • A fast learner who can quickly understand complex technologies while bringing humility, curiosity, and a collaborative mindset. • A software development or engineering background 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!

The road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision and Geometric Modeling algorithms. We are looking for an Algorithm Developer to help us advance our technology and push the boundaries of what's possible in autonomous driving. What will your job look like: • Develop and optimize computer vision and deep learning algorithms to accelerate data generation and labeling workflows for autonomous driving. • Apply both classical computer vision techniques and modern deep learning methods to solve large-scale data challenges. • Collaborate closely with development and annotation teams to enhance automation and ensure high-quality data. • Own the entire lifecycle from prototyping to scalable deployment within internal pipelines and tools. • Develop tools to evaluate and analyze algorithm performance, robustness, and operational efficiency. All you need is: • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance. • Solid foundation in algorithms, data structures, and computer vision/deep learning fundamentals. • Practical experience developing computer vision or machine learning solutions using Python and frameworks such as PyTorch or TensorFlow – must. • Strong analytical skills, a sense of ownership, and the ability to work collaboratively. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

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!

Mobileye is seeking a brilliant Product Execution Manager to lead the execution of advanced algorithmic products – Computer Vision, LiDAR, Radar, and Camera – for global automotive partners and Mobileye’s internal AV development. ** This role requires working at our Jerusalem offices 2 days per week. What will your job look like: • Responsibility for managing the executing Autonomous vehicle sensing projects, ensuring the company meets its commitments to our clients. • Lead complex development projects from the requirements phase through to implementation. • Closely track development progress and obtain approvals for technical requirements from R&D teams. • Work horizontally across internal teams (R&D, AV, REM) to unify and create a coherent product. • Create optimal connections between different interfaces that don't naturally communicate, to ensure projects move forward smoothly and efficiently. • Joint work with lead car manufacturers, including joined workshops, test drives, and functional tuning. • Managing debugging and validation of performance and functionality across the features within the autonomous vehicle sensing stack. All you need is: • Strong executor with vast leadership background and hard work ethic. • B.Sc. in Computer Science or a related engineering field. • At least 3 years of experience in closely managing and leading development teams in complex R&D projects/products. • Proven experience in customer-facing positions. • Excellent communication and management skills. • Fluent in English and Hebrew. Nice to have: • M.Sc./MBA. • Development background. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

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

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

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

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

Mobileye is 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!