Jobs at Mobileye

Integrate and maintain embedded application software and algorithm libraries for internal and customer-facing releases. Manage Git and GitLab integration branches, coordinate cross-team integration tasks, validate versions, resolve code conflicts, and assign issues. Perform hands-on debugging and testing while overseeing release and feature management across multiple projects. Maintain Linux-based software versions and support CI systems to improve testing coverage.

Integrate embedded application software and algorithm libraries for internal and customer-facing releases. Responsibilities include maintaining Linux software versions, managing Git/GitLab integration branches, coordinating cross-team integration, validating versions, resolving code conflicts, debugging and testing components, and managing releases, features, and CI testing coverage.

Integrate and maintain embedded application software and algorithm libraries for internal and customer-facing releases. Manage Git and GitLab integration branches, coordinate cross-team integration tasks, validate software versions, resolve code conflicts, debug and test components, and manage releases, features, and CI testing coverage across multiple projects.

Lead SOTIF analysis for autonomous vehicle systems by developing safety KPIs, requirements, guidelines, methods, and tools. Collaborate with R&D, validation teams, customers, regulators, and automotive stakeholders to identify and mitigate safety risks, validate system behavior, and promote industry acceptance of Mobileye’s SOTIF methodology.

Implement, maintain, and refactor C++ software; integrate algorithmic modules with platform and vehicle systems; coordinate APIs and interfaces; troubleshoot bugs, integration issues, CI/CD pipelines, and system bottlenecks; maintain technical documentation and improve AI-assisted development workflows.

Design, build, and optimize production-grade automotive imaging radar software. Implement complex DSP algorithms on multi-core, distributed-memory platforms; plan memory, data transfer, computation pipelines, and core utilization for resource-constrained environments. Collaborate with research teams and contribute to innovative autonomous-driving sensor technology.

Develop state-of-the-art deep learning, computer vision, and geometric modeling algorithms for lane detection, ADAS, and autonomous driving. Responsibilities include research, prototyping, deployment on real-time embedded vehicle systems, dataset analysis, and collaboration with engineering and research teams to improve algorithm performance and robustness.

Develop and improve deep learning models for autonomous driving planning, decision-making, and behavior. Own work across research, prototyping, training, evaluation, data pipelines, tooling, debugging, integration, and deployment. Design safety and performance metrics, analyze model failures, improve data and training processes, and validate capabilities in simulation and real vehicles while collaborating with control, simulation, data, and algorithm teams.

Develop road perception models and algorithms using vision, maps, and multi-sensor data. Own end-to-end road data pipelines across cloud and on-premises environments, perform geometric reasoning from 2D images to 3D world space, implement algorithms for autonomous vehicle production systems, and build evaluation tools, metrics, and supporting infrastructure.

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.

Develop and maintain computer-vision and signal-processing algorithms for autonomous driving. Implement features and production-ready code in C++ and Python/NumPy, transition research into product, collaborate with cross-functional teams, and solve complex real-world problems.

Develop and maintain autonomous-driving 3D object perception algorithms using C++ and Python across computer vision, LiDAR, radar, and imaging radar. Research, design, test, and productionize algorithms for Mobileye products while solving complex perception challenges and collaborating with cross-functional teams.

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, and supporting candidates throughout the process. Analyze recruiting data, lead initiatives around candidate experience, diversity, employer brand, and EVP, and organize recruiting events and special projects. The role requires creativity, independence, strong communication, analytical ability, and experience recruiting in a high-tech company.

Design and build scalable full‑stack web applications using React/TypeScript frontends and Python (FastAPI)/TypeScript (Express) backends. Deploy services on AWS and Kubernetes, work with 3D/graphics and mapping data, collaborate with designers, QA and product teams, gather user requirements, and own end‑to‑end features affecting company-wide users.

Operate and improve security operations capabilities by developing SIEM detections, tuning alerts, analyzing security telemetry, investigating incidents, and building SOAR automation. The role integrates security tools through APIs and scripts, validates log coverage and ingestion, creates response documentation, and collaborates with IT, cloud, infrastructure, identity, network, and engineering teams to contain incidents and improve cyber resilience.

Own physical design blocks end to end, from RTL definition and constraints through GDS and tape-out. Responsibilities include floorplanning, static timing analysis, synthesis, scan insertion, UPF, lint and SpyGlass checks, place and route, PPA optimization, and signoff across timing, IR/EM, physical verification, logic equivalence, and low-power verification. Collaboration with front-end design and architecture teams is required.

Installs, configures, and integrates sensor hardware, software, and vehicle subsystems on experimental platforms. Develops AI-based automation tools, troubleshoots complex system issues, leads root-cause analysis, and implements corrective actions. Collaborates across engineering teams, leads field experiments, evaluates new sensor technologies, and executes complex data collection scenarios for automotive research and development.

Drive end-to-end execution across engineering, research, validation, data, and infrastructure teams. Build execution plans, track KPIs, resolve blockers, manage risks, align roadmaps with compute and data constraints, and facilitate reviews using dashboards and performance reports. The role requires hands-on technical understanding of code, scripts, CI/CD, testing, data and machine learning tools, and deep learning development processes.

Leads Mobileye’s Technical Program Management organization and drives execution across complex, multidisciplinary R&D programs. Responsibilities include managing and developing TPMs, establishing execution methodologies and governance, coordinating engineering, product, research, data, validation, DevOps, and infrastructure teams, managing risks and dependencies, driving prioritization and resource trade-offs, and communicating program status and decisions to senior leadership. The role requires strong technical depth, organizational leadership, and travel between Jerusalem, Tel Aviv, and Petah Tikva sites.

Provides hands-on technical support and delivery management for global B2B customers. Responsibilities include managing delivery plans, coordinating milestones, troubleshooting and reproducing issues, supporting pre-sales activities, preparing customer deliverables and knowledge-base documentation, planning software releases, and assisting with installations during customer visits. Requires frequent international travel, extended-hours support across time zones, practical Linux experience, strong communication skills, and an engineering or quantitative degree.