Mobileye

We are looking for a Senior Embedded System Architect to define and drive the architecture of complex embedded computing platforms, from product needs through design, integration, validation and production. You will translate customer and product needs into clear architectures and requirements, lead cross-domain technical decisions and ensure our systems are robust, scalable, observable, diagnosable, testable and maintainable throughout their lifecycle. The role spans hardware, embedded software, SoCs and MCUs, networking, memory and storage, power management, boot and update flows, diagnostics, safety mechanisms and system integration. ** This role requires working from our Petah-Tikva site 1 day per week. What will your job look like? • Own system architecture for complex embedded platforms and major platform capabilities. • Translate product and customer needs into system concepts, architectures, interfaces and clear requirements. • Define functional decomposition, hardware and software partitioning, responsibilities, data flows and control flows. • Drive architectural decisions across compute, memory, storage, networking, power, boot, diagnostics, software update, security and monitoring. • Lead technical alignment across system, hardware, embedded software, validation, safety, security, program teams, customers and technology partners. • Analyze system performance, availability and reliability constraints and convert them into architectural decisions. • Identify architectural gaps and risks early, define mitigationsand drive complex cross-domain issues to closure. • Balance functionality, performance, cost, complexity, safety, reliability and product constraints. All you need is: • B.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or a related discipline. M.Sc. is an advantage. • 5+ years of experience in system architecture, system engineering, or development of complex embedded systems. • Strong understanding of embedded architecture across hardware and software boundaries, including SoCs, MCUs, processors, memory, storage and peripherals. • Proven experience defining system architectures, interfaces, requirements, functional decomposition and hardware and software partitioning. • Strong analytical and debugging capabilities for complex multidisciplinary systems. • Ability to lead technical decisions and align multiple engineering teams without relying on direct authority. • Excellent communication skills and the ability to explain complex technical topics clearly to diverse stakeholders. Nice to have: • Experience with automotive, safety-critical, or high-performance embedded systems. • Experience with ASPICE, ISO 26262, Polarion, DOORS, or similar development and requirements frameworks. • Experience working with customers, semiconductor vendors or technology partners. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye is looking for a Signal Integrity Engineer to join AV group and develop of the next generation of Autonomous Driving products. Mobileye is a leading innovator in the automotive industry, dedicated to delivering cutting-edge technology and solutions. We are committed to advancing automotive safety, efficiency, and connectivity through our state-of-the-art ECUs. We are seeking a highly skilled Signal and Power Integrity Simulation Engineer to join our hardware engineering team. In this role, you will be responsible for analyzing and optimizing signal and power integrity in complex electronic systems. You will work closely with design and validation teams to ensure high-performance designs that meet industry standards. What will your job look like: • Conduct signal integrity (SI) simulations for automotive electronic systems, analyzing and optimizing high-speed interfaces, such as LPDDR4/5, PCIe Gen4/5, A/C/D-PHY, Multi Giga-Bit Ethernet . • Conduct Power integrity (PI) simulations, optimizing target impedance and AC coupling in power delivery networks to ensure optimal performance and reliability. • Collaborate with Silicon & Hardware design engineers, IP providers, Electrical and System Validation teams, EDA tools vendors, and product managers to address SI/PI issues and provide actionable design recommendations. • Engage in joint simulation and measurement efforts with the Electrical Validation team to facilitate comprehensive validation of designs. Perform root cause analysis on signal and power integrity failures and propose effective corrective actions. • Generate comprehensive reports and presentations to communicate simulation findings and design strategies to technical and non-technical stakeholders. All you need is: • Bachelor or master's degree in electrical engineering. • At least 5 years of experience as an Integrity Engineer. • Proven experience in signal and power integrity analysis • Proficiency in simulation tools such as HyperLynx, ANSYS, ADS or equivalent, including 2.5D/3D extraction. • Strong knowledge of transmission line theory, electromagnetic principles, and PCB design best practices. • Experience with lab measurement equipment for SI/PI validation (e.g., oscilloscopes, TDR) - Advantage • Excellent analytical and problem-solving skills, with a keen attention to detail. • Strong communication skills and the ability to work collaboratively in a dynamic team environment. 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 Physical AI, developing computer vision, software, and hardware to power autonomous driving solutions and humanoid robots. Our mission is to bring autonomy into the real world by building intelligent technologies that are designed to expand accessibility and enhance everyday life, from advanced driver assistance systems (ADAS) and autonomous driving to robotics and humanoids. Built on decades of automotive innovation and industrial-scale AI expertise, Mobileye technologies power more than 230 million vehicles worldwide. With teams around the world, we continue to innovate at the forefront of autonomous systems, advancing the next generation of Physical AI for the real world. About the team: Mobileye is looking for a skilled and motivated Embedded SW Group manager for the Platform OS Department to manage the OS integration, automation & qualification activities. The Platform OS department of Mobileye is leading a global effort of making the Linux OS as the Automotive Safety OS that will fuel the Autonomous Vehicle and the whole automotive industry. You’ll lead a fast-paced, hands-on and dynamic group of integration and automation engineers, contributing to the overall qualification and integration effort of Mobileye while collaborating with other teams across the organization. What will your job look like: • Lead a group of 12-15 engineers and team leads split into 2-3 teams of SW Integration, Automation and Qualification. • Manage the daily integration of the aggregated delivery of 5-6 OS teams upstream into Mobileye’s SW stack. • Daily tracking of changes coming from OS development teams and controlling their integration order, priorities, test coverage and conflicts. • Managing a daily integration forum to track nightly tests reports, triaging new issues and assigning them to development teams. • System level understanding of the OS features and tracking the test coverage developed by the OS developers. • Lead the development of the qualification system level tests to verify the quality of the integrated delivery. • Tracking the utilization, health, and allocation of the HW resources in the farm and balancing test coverage to HW availability. • Acting as a PoC for all OS integration and qualification issues. Both within the OS teams and externally. • Tracking bug escapes and their mitigation in the OS test coverage. All you need is: • B.Sc. or higher in Computer Engineering or Computer Science. • Prior experience in leadership of a tech lead role managing team leaders. • Proved experience in managing Integration of Embedded SW at high scale. • Experience in Continuous Integration & automation methodologies and tools. • Experience with unit and integration test environments and techniques is a big advantage. • Sharp analytical skills with strong C and Python programming background. • Advantage for previous experience with the embedded Linux Kernel development.

Mobileye is looking for a talented and passionate Talent Acquisition Partner to join our one-of-a-kind HR team. As a Talent Acquisition Specialist, you will be responsible for leading and delivering end-to-end recruiting processes and solutions for one of Mobileye's business units. You will develop a recruiting strategy for your business unit, collaborate with hiring managers and other stakeholders to promote and execute it. You will lead and be a part of a cross-organizational recruiting initiative promoting different topics like candidate experience, diversity, employer brand, etc. Our ideal candidate will have the ability to address challenges with creativity and analytical thinking, will be a strong executer, and have the ability to work independently and engage others, see the big picture with a strong hands-on approach, and have excellent communication skills and a positive mindset. What will your job look like: • Lead end-to-end recruitment process in a rapidly growing R&D business unit. • Partner closely with your business units to create innovative and scalable sourcing and hiring strategies to meet business goals. • Work closely with hiring managers, become their trusted recruitment partner, provide guidance, and help them build excellent teams. • Creatively source top-notch candidates via multiple sourcing channels and maintain a strong talent pipeline. • Serve as a point of contact for candidates throughout the hiring process. • Compile, analyze and capture insights from data to support recruitment business decisions, strategy, processes, and activities. • Take part and lead cross organizational recruiting initiative promoting different topics like candidate experience, diversity, employer brand, EVP creation etc. • Plan and organize recruiting related events and special projects - Meetups, special programs, tech events, panels and webinars. All you need is: • Experience as a recruiter from a high-tech company - must. • BA in a related field from a leading institution, MA/MBA - advantage. • Fluent English - must. • Strong analytical skills. • Proficiency in AI tools to enhance recruiting, sourcing, and day-to-day productivity. • Out of the box, creative thinking. • Self-starter, independent, results-oriented and executer. • Excellent communication skills and a positive approach and spirit. • High energy and collaborative team player. • Able to follow up and get things done in a fast-moving and changing environment At Mobileye, we work from the office 4 days per week. For this role specifically, 2 of those days would need to be from our Jerusalem office. 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). • 4+ 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!

We are looking for a highly motivated and technically strong System Engineer. In this role, you will work closely with the VP on a daily basis, taking ownership of complex technical assignments, driving cross-functional engineering activities, and supporting key technical decisions and execution. You will leverage your deep system-level understanding to investigate complex technical challenges, identify the right stakeholders, challenge technical assumptions, and drive engineering teams toward effective solutions. The ideal candidate combines strong system-level thinking with technical leadership, excellent analytical skills, independent execution capabilities, and the ability to drive complex initiatives across multiple engineering teams without direct authority. What will your job look like? • Work closely with the VP on a daily basis, taking ownership of technical assignments, driving engineering execution, and supporting system-level analysis, planning, and key technical decisions. • Independently lead complex technical assignments from problem definition through investigation, solution alignment, execution, and closure. • Develop a deep end-to-end understanding of complex multidisciplinary systems, their architecture, interfaces, dependencies, and operational behavior. • Lead cross-functional technical investigations, engaging the relevant engineering experts, challenging technical assumptions, and ensuring effective root cause analysis and resolution. • Perform system-level analysis, evaluate technical alternatives, and identify dependencies and design trade-offs. • Work closely with Software, Hardware, Algorithms, and Product teams to drive technical alignment, resolve blockers, and ensure effective execution across engineering groups. • Investigate complex technical challenges, identify gaps, and drive the definition and implementation of practical engineering solutions. • Identify execution gaps, technical risks, and cross-team dependencies, proactively driving their resolution. • Translate complex technical findings into clear conclusions, actionable recommendations, and decision points for senior leadership. • Support technical decision-making throughout the system development lifecycle, ensuring alignment between technical decisions and execution priorities. All you need is: • B.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or a related engineering field. • More than 6 years of experience in System Engineering or System Design within complex technological systems, with demonstrated experience leading cross-functional technical activities. • Proven ability to independently drive complex technical assignments and deliver results through multidisciplinary engineering teams. • Strong understanding of system architecture, design principles, and multidisciplinary systems, with the ability to understand and challenge technical solutions across different engineering domains. • Ability to analyze complex technical problems, ask the right technical questions, challenge assumptions, and drive effective problem resolution. • Experience working closely with multidisciplinary R&D teams, including leading technical discussions and driving alignment without direct managerial authority. • Strong execution mindset, high level of ownership, and ability to operate independently in a dynamic environment with evolving priorities. • Excellent communication skills, including the ability to present complex technical topics, risks, and recommendations to senior management. • Strong analytical, communication, and problem-solving skills. Nice to have: • Experience in ADAS, Autonomous Driving, or automotive systems. • Experience working on large-scale, software-intensive, multidisciplinary systems. • Experience driving technical investigations, system-level problem resolution, and cross-functional engineering execution.

Mobileye is looking for a Senior Software Engineer to join the development of state-of-the-art automotive imaging radar technology. Our vision is to bring new and cutting-edge automotive radar sensor solutions, while leveraging Mobileye’s assets and expertise in this field. Introducing best in class Radar sensor that would complement Mobileye’s end-to-end autonomous driving solution platform. You will be part of a winning team in a fast-paced startup-like environment, working on many different components of the entire system. You will have an opportunity to make an impact on the design and implementation of an innovative technology in its early stages. What will your job look like: • Design, build and optimize software modules for production grade imaging-radar solution Implement complex algorithms in a multi-core platform with high bandwidth with distributed memory. • Work closely with research team to implement highly complex DSP algorithms. • Plan memory arrangement, data transfer, pipeline of computation and multi-core utilization to maximize performance in low-resources compute-limited environment. All you need is: • B.Sc/ M.Sc in Computer Engineering, Computer Science or Electrical Engineering. • 5+ years of software development experience in C in multi-core\multi-thread environments. • Deep understanding in low-level multi-core SW development. Nice to have: • Experience in C++. • Experience working with Real-time Embedded environments. • Experience with Automotive industry. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

We are looking for a Senior Embedded System Architect to define and drive the architecture of complex embedded computing platforms, from product needs through design, integration, validation and production. You will translate customer and product needs into clear architectures and requirements, lead cross-domain technical decisions and ensure our systems are robust, scalable, observable, diagnosable, testable and maintainable throughout their lifecycle. The role spans hardware, embedded software, SoCs and MCUs, networking, memory and storage, power management, boot and update flows, diagnostics, safety mechanisms and system integration. What will your job look like: • Own system architecture for complex embedded platforms and major platform capabilities. • Translate product and customer needs into system concepts, architectures, interfaces and clear requirements. • Define functional decomposition, hardware and software partitioning, responsibilities, data flows and control flows. • Drive architectural decisions across compute, memory, storage, networking, power, boot, diagnostics, software update, security and monitoring. • Lead technical alignment across system, hardware, embedded software, validation, safety, security, program teams, customers and technology partners. • Analyze system performance, availability and reliability constraints and convert them into architectural decisions. • Identify architectural gaps and risks early, define mitigations and drive complex cross-domain issues to closure. • Balance functionality, performance, cost, complexity, safety, reliability and product constraints. All you need is: • B.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or a related discipline. M.Sc. is an advantage. • 5+ years of experience in system architecture, system engineering, or development of complex embedded systems. • Strong understanding of embedded architecture across hardware and software boundaries, including SoCs, MCUs, processors, memory, storage and peripherals. • Proven experience defining system architectures, interfaces, requirements, functional decomposition and hardware and software partitioning. • Strong analytical and debugging capabilities for complex multidisciplinary systems. • Ability to lead technical decisions and align multiple engineering teams without relying on direct authority. • Excellent communication skills and the ability to explain complex technical topics clearly to diverse stakeholders. Nice to have: • Experience with automotive, safety-critical, or high-performance embedded systems. • Experience with ASPICE, ISO 26262, Polarion, DOORS, or similar development and requirements frameworks. • Experience working with customers, semiconductor vendors or technology partners. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

We are part of Mobileye's REM (Road Experience Management) organization, responsible for the HD maps that power Mobileye's autonomous driving technologies. Our team develops the in-vehicle map platform, including smart cloud map downloads, caching, map management, efficient APIs for map consumers, and protocols for distributing map data across vehicle ECUs. We also develop map-based algorithms such as route calculation and lane network generation, which are key components of autonomous driving systems. This is a highly technical role involving embedded software, large-scale map data, performance optimization, and collaboration across multiple engineering teams. What your job will look like: • Design and develop high-performance C++ software for embedded automotive systems. • Develop infrastructure for HD map download, caching, storage, and distribution. • Build efficient APIs and communication protocols for map consumers. • Develop map-based algorithms, including routing and lane network generation. • Optimize software for performance, memory usage, and reliability. • Collaborate with algorithm, cloud, and infrastructure teams to deliver production solutions. • Lead technical design discussions and mentor other engineers. All you need is: • B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related field. • At least 5 years of hands-on experience developing production software in C++. • Strong understanding of software design and object-oriented programming. • Experience developing embedded or performance-critical software. • Excellent debugging and problem-solving skills. • Ability to independently lead complex technical tasks. • Strong communication and teamwork skills. • Previous managerial experience is an advantage. Nice to have: • Experience with autonomous driving systems. • Experience with map technologies, GIS, navigation, or routing algorithms. • Experience with cloud-connected embedded systems. • Experience with distributed systems or communication protocols. • Experience optimizing software for CPU, memory, and latency. 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 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!

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

Mobileye's Platform Software department is looking for a highly driven Software Execution Program Manager to lead the execution of our camera software portfolio supporting ADAS and autonomous-driving projects. In this role, you will connect R&D-team strategy with day-to-day execution across software, hardware, systems, suppliers and customer programs - turning a highly interdependent roadmap into predictable, high-quality delivery. What will your Job look like? • Manage technical prerequisites for execution - including specifications, firmware, initialization sequences, test setups and supplier deliverables - and escalate gaps before they affect milestones. • Own the software execution portfolio across multiple platforms and customer programs, from roadmap and requirements through development, integration, validation, release and production readiness. • Build and maintain integrated program plans covering features, bring-ups, integration, diagnostics, safety mechanisms and platform releases, with clear milestones, ownership and dependencies. • Drive priorities and capacity decisions across concurrent commitments; identify resource collisions early, present trade-offs and secure timely decisions from group and department leadership. • Lead quality and safety execution through ASPICE-aligned planning, requirements and test traceability, functional-safety activation, review readiness, defect follow-up and evidence-based acceptance criteria. • Own the risk and blocker process across internal teams and external suppliers; establish clear accountability, drive technical decision forums and close actions with transparent scope and schedule impact. • Establish execution governance using available tools and dashboards; provide decision-oriented status and automate planning, dependency and release tracking. All you need is: • Bachelor's degree in Engineering, Computer Science or another relevant technical field. • 5+ years of experience in technical project/program management in a complex software development environment. • Proven ownership of multi-project roadmaps, integrated schedules, dependencies, risks, resources and executive reporting. • Strong understanding of the software-development lifecycle, requirements, integration and validation, CI/CD, release management and configuration or branch management. • Experience in system engineering and cross-layer hardware-software integration, with the ability to understand technical architecture and challenge execution plans constructively. • Demonstrated ability to lead through influence, align diverse technical stakeholders, resolve ambiguity and drive decisions and commitments without direct authority. • Excellent communication, planning and problem-solving skills. • Strong planning, risk-management and problem-solving skills, with attention to detail and the ability to maintain a portfolio-level view. • Excellent written and verbal communication and stakeholder-management skills; fluent English and Hebrew. Nice to have: • Experience in automotive, autonomous driving, embedded or safety-critical software development. • Knowledge of Automotive SPICE (ASPICE), functional safety or cybersecurity. • Experience working with hardware, silicon or sensor suppliers. • Experience with camera systems, image sensors, board/sensor bring-up, SerDes, diagnostics or other low-level domains. • Hands-on experience with Jira, Confluence, roadmaps, dashboards and execution reporting.

As a Validation Project Manager in our Reliability Lab, you will be responsible for planning, executing, and overseeing all validation and testing projects within the lab. You will work closely with cross-functional teams to ensure that products and systems meet quality and reliability standards. This position offers a unique opportunity to work directly with major automotive customers, driving our commitment to delivering high-quality, reliable products to our clients. What will your job look like? • Manage, Lead, plan, and execute validation projects within the Reliability Lab, ensuring on-time and on-budget delivery. • Oversee the design and execution of test plans, protocols, and procedures for product and system validation. • Manage a team of validation engineers and technicians, providing guidance, training, and support. • Allocate resources efficiently to meet project objectives and deadlines. • Quality Assurance: Implement and maintain quality assurance processes to ensure the accuracy and reliability of test results. • Maintain detailed records, reports, and documentation of test processes, results, and any deviations. • Identify and mitigate project risks, ensuring that potential issues are proactively addressed. All you need is: • Bachelor's degree in a relevant field (e.g., engineering, science, or a related discipline). Master's degree preferred. • 10+ years of experience in engineering. • Strong knowledge of validation, automation systems and embedded SW. • Experience in managing cross-functional teams and resources. • Knowledge of industry standards and regulatory requirements- an advantage. • Proficiency in project management tools and software. • Excellent communication and interpersonal 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!