Mobileye

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. • Approximately 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!

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

Mobileye's 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!

HW CE Group is responsible for customer engineering across Mobileye's various projects. We're seeking a talented and experienced HW Engineer to take ownership of projects from the block diagram review stage through all bring-up stages and into the field, including HW schematics and layout design reviews, HW bring-up, debugging, SW interface support, and general customer engineering. The work includes collaboration with various internal and external teams across relevant disciplines. What will your job look like: • Review digital board schematics, including high-speed interfaces, power designs, multilayer PCB layouts using various tools, SI/PI simulation reports, mechanical designs and thermal/mechanical simulations, validation, and automotive qualification tests (DV/PV). • Execute board bring-up and maintain relevant documentation. • Lead debugging activities internally and with other teams and customers through resolution. • Participate in conference calls with customers. • Guide various test procedures. All you need is: • B.Sc. in Electrical / Electronic Engineering from a recognized institution. • Strong system-level understanding and hands-on board debugging experience. • Experience with board design tools and laboratory equipment (oscilloscope, logic analyzer, etc.). • Strong interpersonal skills and ability to work effectively across teams. • Independent, organized, and able to manage multiple tasks in parallel. • High level of English. Nice to have: • Experience in digital HW board design. • Good understanding of SI/PI in multilayer PCB design. • Experience in Customer Engineering. • Experience using AI tools to improve work processes. 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 Embedded Software Application team to develop and maintain C++ applications that run on Ubuntu across Mobileye custom chips and x86 platforms. You’ll work in a secure, multi-chip environment and help build reliable software through every stage of development. What will your job look like? • Develop and maintain embedded applications in C++ on Ubuntu. • Design software for a secure, distributed, multi-chip environment. • Work across requirements, design, implementation, and testing using an ASPICE-aligned development process. • Use AI tools to support development and quality activities throughout the lifecycle. • Write and maintain automated tests and contribute to continuous integration. All you need is: • Experience developing C++ applications for Ubuntu. • Experience with cryptography or secure software development. • Familiarity with CI and GoogleTest (gtest). • Experience building distributed applications. • Knowledge of networking and automotive protocols such as TCP/IP, HTTP, SOME/IP, UDS, or DoIP. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Note: This role can be based at any of Mobileye’s sites in Israel: Haifa, Jerusalem, Petah Tikva, or Tel Aviv. Join Mobileye’s SoC Architecture team and help shape the next generation of EyeQ™-based automotive compute platforms for ADAS, autonomous driving, and Robotaxi applications. In this role, you will define system-level hardware architectures and translate complex product and customer needs into scalable, robust, and production-ready platforms. You’ll work across SoC, hardware, software, safety, security, and product teams, influencing key architectural decisions from concept through deployment. Why Join Us? • Shape Mobileye’s next-generation automotive compute platforms. • Work across EyeQ™ SoCs, ADAS, autonomous driving, and Robotaxi technologies. • Influence platform decisions from early concept through deployment. • Collaborate with leading experts across hardware, software, SoC architecture, safety, and security. • Solve complex multidisciplinary challenges that will shape future vehicle architectures. What will your job look like: • Define system hardware architectures for EyeQ™-based automotive compute platforms, reference systems, and customer configurations. • Architect the integration of EyeQ™ SoCs with MCUs, memories, cameras, radars, lidars, SerDes devices, Ethernet switches, and other platform components. • Lead architectural decisions around system topology, connectivity, inter-SoC communication, power flows, logging, debug, and service interfaces. • Translate product and customer needs into clear system requirements, interface specifications, and design guidelines. • Drive system-level trade-offs across performance, bandwidth, power, thermal constraints, PCB area, cost, scalability, safety, and security. • Influence EyeQ™ SoC requirements and drive platform BOM and component architecture. • Collaborate across hardware, SoC, software, functional safety, cybersecurity, validation, product, and business teams. • Review system and customer architectures, identify integration risks, and provide guidance throughout design, bring-up, and validation. • Support technical engagements with OEMs, Tier 1 suppliers, semiconductor vendors, and technology partners All you need is: • B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or a related field. • 8+ years of relevant experience in system hardware architecture, automotive electronics, embedded systems, semiconductor platforms, or complex SoC-based products. • Proven experience defining complex board-level and system-level hardware architectures. • Strong understanding of embedded and automotive compute platforms, including MCUs, memories, PCIe, Ethernet, CAN/CAN-FD, MIPI, camera connectivity, and automotive SerDes. • Experience with system block diagrams, interface specifications, product requirements, and reference designs. • Ability to drive architectural trade-offs across performance, bandwidth, cost, power, thermal constraints, board area, safety, and security. • Strong system thinking and experience driving technical decisions across multiple engineering disciplines. • Excellent written and verbal communication skills in English. Nice to have: • Experience with ADAS, autonomous-driving platforms, automotive compute systems, or domain controllers. • Experience with automotive SoCs, sensors, high-speed interfaces, evaluation boards, or customer platform integration. • Knowledge of functional safety and ISO 26262. • Knowledge of automotive cybersecurity and secure system architectures. • Familiarity with automotive standards and processes such as AEC-Q100, ASPICE, and FMEA. • Experience working with OEMs, Tier 1 suppliers, semiconductor vendors, or external technology partners. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Join Mobileye, a leader in autonomous driving technology, and shape the future of transportation. As a Solution Architect, you'll be at the forefront of innovation, driving cutting-edge features from concept to commercialization. ** This role requires working from our Jerusalem site 1 day per week. It also offers the flexibility to work part-time from our other sites, subject to seat availability. What will your job look like? • Visionary Architect: Define the system architecture and derive comprehensive system and embedded software requirements that align with Mobileye's hardware and software capabilities. • Customer Champion: Directly engage with customers to understand their needs, analyze requirements, and tailor our solutions to meet their specific demands. • Strategic Planner: Develop consolidated timelines for multiple projects and prioritize product features. • Collaborative Leader: Work closely with software architects, developers and project managers to drive the product success. • Quality Advocate: Adhere to ASPICE standards for system requirements, architecture, and software requirements, ensuring the highest quality and reliability. All you need is: • Technical Expertise: Bachelor's degree in Computer Science or a related field, coupled with 5-10 years of experience in technical product management, system engineering, or solution architecture. • Systems Engineering Proficiency: Familiarity with systems engineering and requirement management processes and methodologies. • Familiarity with Automotive ecosystem: Sensors (Radars, Lidars, Cameras), time-syncing, calibrations and integrations, Vehicles ECU's. • Embedded Context: Experience with complex embedded systems/Linux environments. • Leadership Skills: Ability to lead cross-functional teams, influence stakeholders, and engage effectively with senior leadership. • Communication Prowess: Excellent communication and interpersonal skills, enabling you to interact confidently with customers, colleagues, and partners. • Customer Focus: Proven experience in customer-facing roles, with a focus on understanding customer needs and expectations. • Drive and Initiative: Accountability, independence, and a highly motivated approach to work, capable of delivering results even 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 the Mobileye Autonomous Vehicle project, which delivers high-quality AV (Autonomous Vehicle) products to various vehicle manufacturers. We oversee the complex system as a whole and are the main gate to ensure the safety of our autonomous driving products. As a System Validation Engineer, you will be interacting with the team members as well as with most of Mobileye's departments to develop state-of-the-art automation suites based on a thorough understanding of product behavior. What will your job look like? • Gain a deep, working understanding of the product, including how the hardware is built, configured, and used. • Write test plans in accordance with system requirements to ensure high-quality products. • Execute both manual tests and built-in automated test sets. • Thrive in a multi-tasked, dynamic, and diversified environment. • Develop and write automation scripts. • Record, investigate, and analyze defects thoroughly. • Collaborate closely with relevant stakeholders and subject matter experts. All you need is: • BSc in Electrical Engineering or an equivalent engineering degree with substantial hardware and systems depth. • 2+ years of experience as a validation engineer (test planning, execution, traceability, and release-quality judgment). • 2+ years of Python for automation, tooling, and data analysis (not only ad-hoc scripts): structured code, reusable modules, and integration with CI or test frameworks where applicable. • Solid software engineering practices with Git: branching workflows, code review, meaningful commits, and collaboration in a shared codebase. • Experience with Git: branching workflows, code review, meaningful commits, and collaboration in a shared codebase. • Proven technical, systems-oriented validation mindset and ownership: understanding of OS/process basics, environments and dependencies, logs and diagnostics, configuration, networking fundamentals, and performance/stability considerations as they affect validation. • Hands-on experience validating or integrating hardware–software systems, such as embedded products, electronics, sensors, boards, or vehicle and industrial systems. • Proven ability to write clear, concise, and well-structured technical documents (test plans, reports, runbooks, and conclusions backed by evidence). • 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 (Autonomous Vehicles) Operation and validation group leads entire AV experiments at Mobileye. Our role is to achieve online performance testing as well as offline validation analysis, to provide accurate and persistent feedback on the technologies that enable Fully Autonomous Driving Capabilities - sensing, maps, control etc. We provide AV development groups a clear view of the AV functionalities performance. We have full responsibility to develop our tools and infrastructures to enable our daily operation. What will your job look like? • Test and experiment our Autonomous Vehicles development and production platforms. • Inspect any malfunctions and abnormalities in the vehicle. • Drive in complicated scenarios and various use cases, challenging the products without endangering other road users. • Validate and investigate any performance issues during the experiment. • Reviewing and analyzing test results and generating summary reports. • Travelling and supporting abroad Mobileye sites. • Acquire the technical skill to operate and debug independently the vehicle's complicated systems in real-time. • Execute a day-long test drive end to end: Vehicle preparation, route planning, event tagging, system failure debug, data upload and analysis. • Gather information and upload it to the database. • Support new systems installments in the vehicle, in depth understanding and work with Mobileye systems in Autonomous Vehicle. All you need is: • B.A. \ B.sc \ Professional Course. • Driving license with Clean driving record. • 4+ years of driving experience. • Proficient written and spoken English. • Willingness to occasionally work on evenings and Fridays. • Willingness to occasionally fly abroad. Nice to have: • Advanced driving courses. • Technical background. • Experience working with Linux, Jira. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye is the world leader in automotive and driving assistance systems, developing the world's most advanced software technologies and hardware architectures. Our team in Haifa develops cutting-edge technologies to deploy deep learning and computer vision algorithms efficiently on the Mobileye platform. Our work contributes to saving lives and advancing the capabilities of autonomous vehicles. Check out our technology in action: https://www.youtube.com/watch?v=50NPqEla0CQ We are looking for a deep learning software engineer to join the Mobileye Autonomous Driving software group in Haifa, focusing on Deep Learning optimizations. This role offers an exciting opportunity to collaborate with highly talented engineers, contribute to an innovative product, and work with cutting-edge AI technologies. What will your job look like: • Develop a software product that optimizes deep learning networks. The optimizations include learnable techniques such as quantization, pruning and compression. This software product is the initial stage of the deep learning inference flow and is essential for enabling Mobileye’s deep learning networks to operate efficiently on low-power hardware within vehicles. • Development is mostly in Python programming language, using deep learning frameworks such as Pytorch. • Collaborate closely with Mobileye’s algorithm teams to ensure the fast and accurate deployment of their state-of-the-art models. • The work encompasses the entire software development cycle, including code implementation, unit testing, CI/CD processes, and more. • Literature research and POC implementation of new optimization algorithms. • Your work will position you at the forefront of machine learning optimizations. All you need is: • BSc/MSc in Computer Science/ Electrical Engineering with computer science chain. • 5+ years experience in Neural Networks/Deep Learning. • Hands-on experience with PyTorch and deep learning frameworks. • Strong Python programming skills and experience developing production-grade software. • Knowledge of C/C++ and experience with containerized environments – an advantage. • Experience in CI/CD pipelines and containerized environments.

You will be part of Mobileye's REM department that 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. This process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and as such is a complex system that requires a deep understanding of our map creation process as well as advanced technical abilities. Our team focuses on next phase developments within the map creation system, which involves algorithmic developments, cross teams (algo and engineering) developments. What your job will look like: • You will have full responsibility over a development and design of logics and components that are essential for the Mobileye map. • Intensive teamwork along the development path - internally with the algorithmic team and externally with other teams. • Development of a high-performance computing system. • Will take part on making the world's roads a safer place. All you need is: • B.Sc. in Computer Science / Engineering. • 5+ years experience as a SW developer. • Algorithmic-oriented SW development. • Ability to understand complicated and algorithmic system. • Experience services and SPARK - 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!

Product Validation department is looking for an 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 be interacting with most of Mobileye’s departments, to achieve Mobileye’s goals. What will your job look like: • Testing and evaluating system performance across both hardware and software components, identifying issues, analyzing root causes, and verifying system functionality. • Developing, executing, and improving validation tests and integration methodologies to ensure product quality, reliability, and compliance with system requirements. • Performing manual validation alongside built-in automated test suites, analyzing test results, documenting findings, and supporting issue resolution. • Installing, configuring, and validating Mobileye's debug systems and sensors on development vehicles, while providing technical support and troubleshooting assistance to internal teams and automotive customers. All you need is: • B.Sc. in Electrical Engineering, Mechanical Engineering, or an equivalent engineering discipline. • At least 2 years of experience in validation, system integration, or testing of multidisciplinary system. • Hands-on experience working with hardware systems. • Strong analytical, debugging, and problem-solving skills. • Familiarity with embedded systems and hardware/software integration. • Experience working in Linux environments – an advantage. • Fluent in English & 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!

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 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. We are looking for a Semiconductor Quality & Reliability (Q&R) Engineer with experience in yield analysis and semiconductor device physics. The role focuses on analyzing silicon data, identifying yield and reliability issues, and supporting root-cause investigations and continuous improvement. What will your job look like: • Perform semiconductor yield analysis and identify yield-loss mechanisms, parametric trends, and outliers. • Analyze test, wafer, and silicon data to support quality and reliability investigations. • Apply device physics knowledge to understand electrical behavior, process variation, and potential failure mechanisms. • Support root-cause analysis and corrective actions for yield and reliability issues. • Collaborate with design, product, test, process, and manufacturing teams to improve product quality and yield. • Prepare technical analyses, reports, and recommendations based on silicon data. All you need is: • Bachelor’s or Master’s degree in Electrical Engineering, Physics, Materials Science, Semiconductor Engineering, or a related field. • ~5 years of relevant experience in semiconductor quality, reliability, yield engineering, product engineering, process engineering, or device technology. • Solid understanding of semiconductor device physics. • Hands-on experience with yield analysis, statistical data analysis, and silicon-data interpretation. • Experience investigating parametric variation, yield excursions, and reliability-related issues. • Strong analytical, problem-solving, and communication skills. • Communicative with internal teams and external semiconductor manufacturers and OSATs. • Excellent documentation and language skills (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!

We are looking for a Technical Execution Program Manager to join our Bring-Up and execution team to support the scalable delivery of autonomous-driving projects. This is a complex and dynamic role that requires deep technical understanding, detailed planning and tracking of development activities, and effective collaboration with several teams, different stakeholders and management. In this role, you will orchestrate and accelerate execution across multiple projects, cutting across teams, groups, and technical domains. What will your Job look like? • Establish execution governance, standards and operating cadences; maintain reliable status, and provide concise, decision-oriented reporting to top management. • Build and maintain integrated plans that translate the project portfolio roadmap into clear milestones, ownership, dependencies, resource needs and measurable delivery commitments. • Partner closely with R&D groups, technical project managers, architects and system engineers to challenge plans constructively, support prioritization and enable timely trade-off decisions. • Drive execution-focused technical discussions to unblock delivery and ensure alignment across workstreams. • Proactively manage risks and blockers across software, system, development-infrastructure, test and customer-program stakeholders; drive escalation, decisions and closure when ownership is unclear. • Improve execution through automation and modern tooling, including automated reporting, live status views and AI-assisted workflows that reduce manual effort and improve data quality. All you need is: • Bachelor's degree in Engineering, Computer Science or another relevant technical field (M.Sc./MBA is an advantage) • 5+ years of experience in Project Management, Program Management, or a similar role involving complex technology products. • Strong planning, risk management and problem-solving capabilities, with the ability to understand technical details while maintaining a portfolio level view. • Proven ability to lead through influence, align diverse stakeholders, resolve ambiguity and drive decisions and commitments without direct authority. • Outstanding organizational, communication, interpersonal, and relationship-building skills conducive to collaboration. • Background working with distributed teams and highly interdependent technical programs. • Fluency in Hebrew and English. • Experience in the automotive industry - an advantage.

Mobileye is looking for a hands-on Technical Project Manager to join the ADAS Production Programs team and support the scalable execution and delivery of a ADAS projects for our automotive customers. This is a complex and dynamic role that requires deep understanding of Mobileye’s product delivery process, ongoing planning, problem-solving, and effective communication — both internally with multiple stakeholders and externally with international customers. What will your job look like? • Deliver results by orchestrating the technical planning, execution, and enablement of key programs. • Communicate with the automotive client regarding exact technical needs, including organizing workshops, test drives, and functional tuning. • Anticipate and remove obstacles that slow down or prevent teams from meeting objectives. • Lead and contribute to decision-making processes and facilitate conflict resolution. • Leverage your hands-on experience in the relevant technologies. • Use critical thinking and design-oriented problem-solving to drive delivery and results. • Define key program metrics and communicate outcomes, blockers, and overall program performance. • Work with management and other leaders to continuously identify and implement process improvements. All you need is: • Computer Science/Industrial Engineering/Relevant Engineering degree. • 5+ years of experience of project management. • Experience in customer-facing technical project or program management. • Excellent communication, organizational, and management skills. • Experience in the automotive/vehicle industry – 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!

We are looking for a Technical Project Manager (TPM) to join our Bring-Up execution team. You’ll oversee development progress, work closely with engineering, research, and infrastructure teams, and help ensure the group meets its strategic and technical goals. As a TPM, you will play a vital role in implementing the company's vision within large-scale cross-functional projects that span the organization. You will lead process and technology improvements that proactively address issues that help Mobileye meet all customer needs. Working alongside multiple internal engineering teams, you'll help set and drive priorities and address critical blockers in a fast-paced environment that directly impacts the products. What will your job look like: • Plan and establish new processes and execute with multiple development teams . • Deliver results by orchestrating the technical planning, execution, and enablement of key processes. • Manage timelines, validation, data readiness, integrations, and infrastructure work. • Define, track, and analyze execution KPIs. • Support roadmap planning by aligning feature scope with infrastructure capacity, data availability, and validation bandwidth. • Help identify execution risks and resolve technical blockers, including failing tests, data gaps, integration conflicts, and infrastructure bottlenecks. • Anticipate and aggressively remove obstacles that slow or prevent teams from delivering objectives. • Work with management and other leaders to continually identify and implement team process improvements. All you need is: • B.Sc. in Electrical Engineering, Computer Science, or a related engineering field. • 10+ years of experience in engineering teams. • Excellent problem-solving, organizational, and analytical skills, with proven ability to take initiative and build strong and productive relationships (to drive issues to closure). • Outstanding organizational, communication, interpersonal, and relationship-building skills conducive to collaboration. • Excellent analytical and problem-solving skills with a history of proactively working across the organization to drive issues to closure. • Background in the automotive industry - an advantage • Fluent English and Hebrew

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: • 5+ 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!

Join the Revenue team at Mobileye, a prominent tech company specializing in automotive solutions traded on NASDAQ. What will your job look like: • Acting as a trusted finance partner to Product and R&D leaders, with deep understanding of full P&L as well as other key business drivers. • Translating financial data into clear insights and a compelling business story for management. • Building & analysis of short/long term business plans. • Building and Maintaining the company's long-term plan and other ad – hoc models to support strategic decision making. • Preparing detailed budget with budget owners/senior and providing quarterly reports of usage. • Performing a quarterly analysis report: actual vs. forecast and budget. • Participating in quarterly closing process (provisions, analysis, monthly reports and presentations). • Maintain the Company’s long-term forecast. • Conducting quarterly rolling forecast and insightful analysis of company's revenues and cost of sales (product mix, gross margin etc.) • Working with accounting, budget systems and related SOX controls. All you need is: • B.A. in Industrial Engineering and Management / Economics. • 3-5 years of experience as FP&A/analyst/budget and control economist. • Accounting and financial reporting knowledge. • Proven experience in building complex financial models- a must . • Experience in costing and GM analysis . • Expert level of Office software, particularly Excel. • Fluent English. • Ability to function well under pressure and with heavy workload (short timetable). • Well-organized with ability to prioritize. • Ability to manage interfaces with all the organization divisions. • Strong analytical skills. • AI mindset or experience working with AI tools. • Attention to detail and problem-solving ability. *** The job requires being present at the offices in Jerusalem at least twice a week, with an additional option to work from home one day a week. The rest of the time, you can work from one of our sites located in the central part of the country (Petah Tikva, Ramat Gan, Tel Aviv). Nice to have: • Experience in an industrial company. • Experience with financial systems (NetSuite), BI tools (Qliksense), Salesforce, Power Query. 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 the MECI team within Mobileye’s Algo Software Engineering group. Our mission is to accelerate developer velocity, streamline the engineering lifecycle, and build high-impact internal platforms for Mobileye’s algorithm and software teams. We are looking for a Senior Full-Stack Developer (Frontend-Oriented) with a strong frontend focus and an eye for exceptional UX to help us build intuitive, modern, and scalable web applications. In this role, your work will directly boost the productivity of hundreds of engineers across the company. What your job will look like: • Lead frontend architecture and construct clean, highly responsive, and user-friendly interfaces using React and TypeScript. • Own end-to-end feature delivery, pairing robust frontend user experiences with performant Python (FastAPI) backends and API services. • Integrate AI tools and agentic workflows into daily engineering practices and internal platforms to maximize team efficiency. • Build, test, and deploy scalable solutions operating on modern cloud infrastructure (AWS, Kubernetes, Docker). All you need is: • 5+ years of experience as a Full-Stack Developer building complex, scalable web applications. • Deep frontend expertise in React and TypeScript, with a proven track record of architecting rich user interfaces. • Strong backend experience with Python (FastAPI). • Strong eye for UX/UI: Demonstrated ability to turn complex technical workflows into clean, intuitive, and visually polished interfaces. • Solid understanding of core web fundamentals (browser rendering, client-server architecture, caching, performance optimization). • B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related field. Nice to Have: • Experience building AI-driven features, agentic automations, or LLM integrations. • Experience with cloud platforms (AWS) and Kubernetes. • Experience with containerization (Docker) and modern CI/CD pipelines. 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!