Mobileye

Security Engineer

• Serve as the Cyber Security focal point for ADAS Production Programs.
• Support Project Managers in planning, tracking, and executing Cyber Security activities.
• Coordinate cross-functional activities involving Product, Development, Compliance, and Security teams.
• Ensure alignment between customer requirements, project plans, and internal execution processes.
• Drive execution consistency and standardization across production programs.
• Continuously improve Cyber Security execution processes.

Production Cyber Security Execution Manager

Team Lead

• Lead a small and highly capable Deep Learning R&D team working on real-time computer vision models for Mobileye’s products.
• Provide technical leadership across the full deep learning development cycle, including data understanding, model design, training, evaluation, optimization, and production readiness.
• Drive goal-oriented research and development, balancing innovation with practical product needs, timelines, and delivery quality.
• Mentor, support, and develop team members, while creating a strong professional environment that encourages ownership, creativity, and continuous improvement.
• Break down complex and ambiguous problems into clear work plans, priorities, milestones, and execution steps.
• Collaborate closely with cross-functional teams to understand requirements, align expectations, and deliver effective solutions.
• Improve existing models and development flows to enhance accuracy, robustness, runtime performance, scalability, and product impact.
• Stay up to date with the latest advancements in deep learning, computer vision, AI architectures, and AI-based development tools, and apply relevant ideas to improve the team’s work.

Deep Learning R&D Team Lead

Data Analyst

• Build and use AI-based tools, workflows, and automations leveraging LLMs, VLMs, and AI agents to support data labeling, classification, enrichment, and analysis processes.
• Perform hands-on analysis of structured and unstructured data, investigate model errors, identify patterns, and generate actionable insights to improve data and model quality.
• Define labeling schemes, analytical criteria, and QA methodologies to ensure high-quality and consistent data analysis processes.
• Create internal scripts, lightweight tools, and automations that streamline data analysis and annotation workflows.
• Collaborate closely with algorithm, research, and engineering teams to translate project needs into practical AI- and data-driven solutions.

Applied AI Data Analyst – Temporary Position

Full-stack Engineer

• Researching and defining the SW solutions based on the PCIe standard and the Linux implementation for the PCIe stack
• Designing and Implementing the SW Stack for the communication between the EyeQ SoCs laying the infrastructure for cross chip neural networks.
• Defining the future HW solutions by working closely with the SoC Architecture team in a SW/HW co-development environment.
• Performing performance analysis, feasibility studies, PoCs and optimization flows to achieve the highest performance with minimal resources.
• Work closely with the Linux Kernel team and provide the technical guidance and mentoring for development engineers.

Embedded Linux OS Architect

Engineer

• You will be part of the Mobileye Autonomous Vehicle project, which delivers high-quality AV (Autonomous Vehicle) products to various vehicle manufacturers.
• We are precepting the complex system as a whole and are the main gate to ensure the safety of our autonomous driving products.
• As a 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.

Validation Engineer

• Support ongoing annotation work for REM production programs and mapping deliverables, keeping day-to-day labeling aligned with specs and priorities.
• Analyze issues and drive fixes in labels, guidelines, tooling gaps, and vendor output so root causes are addressed
• Own and improve quality and efficiency of annotation workflows (QA, rework, throughput) without trading accuracy for speed.
• Collaborate across teams - product, mapping, algorithms, operations, and vendors—to align requirements, timelines, and acceptance criteria.
• Understand REM technology and real-world map behavior so annotations reflect how roads, lanes, and scene context behave in actual driving.
• Work with map and imagery data from many regions (countries, cities, and driving cultures) and keep labeling consistent across geographies.
• Run continuous project reviews and produce clear, regular reports on status, risks, quality, and delivery.
• Meet project KPIs for label quality, coverage, and schedule.
• Train and coach offshore annotation engineers on REM concepts, tools, edge cases, and quality expectations.
• Interpret complex driving scenes via maps and related data and turn that understanding into practical guidance, specs updates, and scalable solutions for the labeling team.

Production Annotation Engineer

• Design and implement features in collaboration with users during the design process.
• Own end-to-end implementation of features, being responsible for the entire stack, from UI to backend, to DB
• Support users with using our tools/platform and onboard new users

Full Stack Developer

Solutions Engineer

• Lead Radar product integration from requirements, through the development cycle
• Define and implement system integration test plans, automation and workflows
• Supply Algo features validation feedback from early development stages
• Debug and analyze product Performance with Algorithm and system development teams
• Deliver accurate and detailed integration reports
• Provide technical support to key customers on complex R&D technical issues
• Report customer feedback and requests back to support manager, product group, and R&D

Radar System Integration Engineer

Business Operations

• Drive and improve operational workflows and processes across the department to increase efficiency and scalability, working closely with the department's VP and management.
• Act as a central point of contact for cross-team operational coordination and alignment.
• Track department KPIs and deliverables, providing regular status updates to department VP (dashboards, reports.)
• Knowledge management - create, refine, and manage department templates (procedures, presentations, onboarding).
• Manage and track the department's budget, ensuring accuracy and efficiency - Build annual budget, identify financial gaps, analyze variances, rolling forecast.
• Organize and coordinate meeting spaces for conferences, offsites, and team events.
• Oversee catering and refreshments, managing catering orders and budget.
• Support additional logistical needs.

Business Operations – Department Administration

Technical Program Manager

• 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.

Senior Technical Program Manager

SDET

• Be the technical lead of the team that is responsible for the development of test content (mostly in Python) for the autonomous vehicle system and E2E flows
• Review and approve system architecture requirements
• Design and implement complex test solutions
• Enforce compliance with autonomous vehicle industry standards

Test Automation Engineer

• Architect and develop the Linux startup and service management framework optimized for embedded constraints.
• Design and implement robust Over-the-Air (FOTA) software update mechanisms and fail-safe recovery systems.
• Develop low-level userspace applications and daemons in C/C++ that interact directly with the kernel and hardware.
• Optimize system boot time and resource utilization through deep analysis of the execution chain.
• Own the system lifecycle, from the first instruction in userspace to a fully operational automotive safety system.
• Perform root cause analysis on complex system-level crashes, memory leaks, and race conditions within the distribution.
• Collaborate on board bring-up, ensuring the distribution is tailored to the specific requirements of new EyeQ generations.

Senior Linux Embedded Systems Software Engineer

Technical Project Manager

• 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.