Top Tech Jobs & Startup Jobs

Design, develop, and deploy deep learning algorithms and semantic understanding engines for HD mapping and automotive perception. Lead end-to-end projects from research and prototyping to training, evaluation, integration, and scalable deployment using large-scale driving datasets. Collaborate across teams to improve model accuracy, robustness, and runtime efficiency.

Design and implement software to optimize deep learning models (quantization, pruning, compression) for efficient inference on low-power automotive hardware. Develop in Python and PyTorch, collaborate with algorithm teams, run literature research and POCs, and support full software lifecycle including testing and CI/CD.

Lead technical planning, execution, and delivery of ADAS production programs for automotive customers. Responsibilities include coordinating stakeholders, communicating technical requirements, organizing workshops and testing, removing delivery obstacles, facilitating decisions, defining program metrics, resolving conflicts, and improving processes. The role requires customer-facing technical project management experience, strong communication and organizational skills, an engineering or computer science degree, and fluency in English and Hebrew.

Leads Mobileye’s Release Management team and oversees end-to-end software releases for ADAS and autonomous vehicle products. Owns release planning, schedules, dependencies, risk mitigation, governance, readiness criteria, stakeholder communication, metrics, documentation, and continuous process improvement. Manages Release Managers and partners with engineering, QA, product, integration, and program teams. Drives automation, CI/CD, configuration management, and DevOps best practices across complex software delivery environments.

Own the technical interface between Mobileye and automotive OEM customers. Lead system understanding, issue analysis, solution definition, software integration, validation, and delivery for ADAS and autonomous-driving solutions. Translate customer feedback into technical requirements, coordinate cross-functional investigations, and support workshops, test drives, tuning sessions, and on-site activities. Build trusted customer relationships while improving technical workflows and supporting product development.

Develop and train deep learning models for autonomous-driving perception, including object detection, scene understanding, and 3D perception. Design and analyze pipelines from data through deployment, collaborate with algorithm, software, and data teams, and research computer vision and multi-task learning methods for production-ready models.

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.