Jobs at Mobileye

Leads end-to-end execution of complex technical projects for autonomous driving platforms, including requirements, planning, delivery, and cross-functional coordination. Drives technical discussions, removes blockers, aligns multidisciplinary engineering teams, represents projects in management forums, and communicates status to senior leadership. Partners closely with R&D teams across algorithm acceleration, sensor integration, operating systems, and in-vehicle visualization.

Lead strategic sales engagements with automotive OEMs and Tier 1 suppliers in the ADAS and autonomous vehicle ecosystem. Own the full commercial lifecycle from RFQ/RFI through negotiation and execution, build senior customer relationships, develop value propositions, and coordinate with business development, product, finance, legal, and executive teams. Manage complex hardware and software deals, pricing, procurement engagement, and long-cycle negotiations.

Lead integration, verification, testing, debugging, and deployment of automotive features across multi-SoC ECU platforms. Define test strategies, coordinate OEMs and software suppliers, resolve cross-team dependencies, manage laboratory environments, maintain test documentation, and mentor engineers. The role supports advanced driver-assistance and autonomous vehicle products, requiring technical leadership across complex hardware and software systems.

Lead end-to-end recruiting for a high-tech R&D business unit, developing sourcing and hiring strategies, partnering with hiring managers, building talent pipelines, analyzing recruiting data, and supporting employer branding, diversity, candidate experience, events, and cross-organizational initiatives.

Lead end-to-end execution of complex Robotaxi and autonomous vehicle programs. Coordinate engineering, product, validation, safety, cybersecurity, manufacturing, operations, customers, and executive stakeholders. Identify risks, dependencies, resource gaps, and technical trade-offs; drive issue resolution and cross-functional alignment without direct authority. Establish milestones and success metrics, communicate program status, and improve execution processes. The role requires technical leadership, systems thinking, stakeholder management, fluent English and Hebrew, and willingness to travel internationally.

Own end-to-end integration, verification, testing, and deployment of automotive cybersecurity features across multi-SoC ECU platforms. Define requirements with OEMs, validate secure provisioning during production, coordinate suppliers and internal teams, manage dependencies and defects, maintain test documentation and traceability, and support root-cause analysis. The role focuses on secure boot, secrets provisioning, secure software updates, ECU hardening, and cybersecurity validation for semi- and fully autonomous vehicles.

Lead the design, development, and technical direction of Python-based test automation for Mobileye’s autonomous driving platform. Develop complex end-to-end validation flows, review system architecture requirements, debug software issues, enforce autonomous vehicle standards, and mentor automation engineers. The role requires hands-on software validation, Linux and Bash experience, CI/CD knowledge with Jenkins, Git familiarity, and networking expertise.

Lead end-to-end recruiting for a rapidly growing R&D business unit. Develop sourcing and hiring strategies, advise hiring managers, build talent pipelines, support candidates, analyze recruiting data, and lead initiatives involving candidate experience, diversity, employer branding, and EVP. Organize recruiting events and special projects while collaborating across the organization in a fast-moving environment.

Integrate embedded Linux, application software, and algorithm libraries for internal and customer-facing releases. Debug real-time code, manage GitLab integration branches, validate software versions, assign issues, coordinate conflict resolution, and support complex cross-team integration efforts in an autonomous driving environment.

Lead a team of 4–6 embedded software integration and automation engineers. Manage daily OS delivery integration into Mobileye’s software stack, prioritize changes, monitor test coverage and CI load, coordinate integration forums, triage issues, track hardware resources, and mitigate escaped defects. Collaborate across OS development teams while serving as the primary point of contact for integration issues and contributing hands-on technical leadership.

Leads a team of embedded software integration and automation engineers, managing daily OS integration into Mobileye’s software stack. Responsibilities include controlling integration priorities, tracking test coverage and CI load, managing hardware farm resources, triaging nightly test issues, coordinating bug mitigation, and serving as the point of contact for OS integration issues. Requires strong C and Python skills, embedded software integration experience, leadership capability, and familiarity with continuous integration and automation methodologies.

Integrate embedded Linux operating systems, application software, and algorithm libraries for internal and customer-facing releases. Debug real-time code under memory and runtime constraints, manage GitLab integration branches, coordinate complex cross-team integration tasks, validate software versions, assign issues, and resolve code conflicts in autonomous driving systems.

Lead a team of embedded software integration and automation engineers responsible for integrating OS deliveries into Mobileye’s software stack. Manage integration priorities, test coverage, CI load, hardware resource allocation, nightly test triage, issue assignment, and bug escape mitigation. Serve as the primary point of contact for OS integration issues while collaborating across development teams. The role combines technical leadership, hands-on issue isolation, and system-level understanding of embedded Linux and automotive software.

Integrate embedded Linux, application software, and algorithm libraries for internal and customer-facing releases. Debug real-time code, manage GitLab integration branches, coordinate complex cross-team integration activities, validate software versions, assign issues, and resolve code conflicts. The role requires practical experience with Linux, Git/GitLab, C/C++, Python, and software validation or integration.

Develop and operate large-scale cloud infrastructure on AWS and Google Cloud. Build Python backend packages, batch processing frameworks, high-volume sensor data systems, and infrastructure automation. Responsibilities include designing, deploying, maintaining, and optimizing systems running across hundreds of thousands of CPUs and processing petabytes of data. Collaborate with engineering, algorithms, validation, and AWS teams while troubleshooting Linux systems and managing cloud resources.

Integrate embedded Linux operating systems, application software, and algorithm libraries for internal and customer-facing releases. Debug real-time code under memory and runtime constraints, manage GitLab integration branches, support complex cross-functional integration tasks, validate software versions, assign issues, and coordinate conflict resolution. The role supports autonomous driving technologies and requires hands-on software integration experience in Linux environments.

Designs, implements, and maintains AI-powered solutions, automation workflows, integrations, and enterprise IS platforms. Evaluates emerging technologies, develops scripts and connectors, leads cross-functional IS projects, and defines standards for AI adoption. The role requires strong experience with Atlassian tools, integration platforms, APIs, scripting, cloud environments, and end-to-end project delivery.

Manage software execution for autonomous driving platform deployments, including partner commitments, base software delivery content, roadmaps, release planning, technical discussions, and blocker removal. Collaborate with R&D, systems teams, suppliers, and automotive customers to ensure high-quality, timely delivery. Lead cross-functional execution and communicate with senior leadership while coordinating complex embedded software projects.

Build and optimize production C++ systems that integrate neural network models into real-time 3D sensing and perception systems for autonomous vehicles. Responsibilities include model runtime integration, sensor and data flow, performance and memory optimization, edge deployment, testing, CI/CD, and end-to-end feature ownership. The role collaborates with algorithm and cross-functional teams on computer vision, deep learning, and production vehicle systems.

Develop production-grade C++ systems that integrate neural network models into real-time 3D sensing and perception systems for autonomous vehicles. Responsibilities include model runtime integration, sensor and data processing, performance and memory optimization, edge deployment, testing, CI/CD, and end-to-end feature ownership. The role collaborates with algorithm teams on computer vision, deep learning, and 3D perception solutions.