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we are looking for a skilled and motivated Embedded SW Integration Team Lead for the Platform OS Department to manage the daily integration of the OS deliveries into our companys SW stack. The Platform OS team of we are 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. Youll lead a fast-paced, hands-on and dynamic team of integration and automation engineers, contributing to the overall qualification and integration effort of our company while collaborating with other teams across the organization.
What will your job look like:
Lead and mentor a team of 4-6 SW Integration and Automation engineers
Manage the daily integration of the aggregated delivery of all OS teams upstream into our companys 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 found and assigning them to development teams.
System level understanding of the OS features and tracking the test coverage developed by the OS developers.
Tracking the utilization, health and allocation of the HW resources in the farm.
Balancing test coverage to HW availability through tracking CI load.
Acting as a PoC for all OS integration issues. Both within the OS teams and externally.
Tracking bug escapes and their mitigation in the OS test coverage.

we are looking for a driven and technically fluent Product Manager to lead our internal Data Platform, which powers everything from ETL process to data lake storage layers to advanced analytics products. Our Data Platform operates at a massive scale, processing tens of terabytes of data across complex ETL pipelines, data lake layers, and analytics workflows. Youll help shape the backbone that fuels algorithm development, validation processes, and analytics tools that determine the quality of models. Our group works with the energy of a compact startup inside the company: fast feedback loops, end-to-end ownership, and big responsibility. You will work closely with Algo teams, Validation teams, Analysts, and cross-functional engineering groups to deliver a platform that is reliable, developer-friendly, and built for scale.
What will your job look like:
You will define the platforms roadmap and drive cross‑org alignment on data infrastructure priorities.
Translate requirements from Algo, Validation, and Analyst teams into clear and structured product specifications, including UX/UI and user flows.
Own the product lifecycle - from discovery and design to implementation, rollout, monitoring, and iterative improvement.
Conduct ongoing conversations with users to acquire a deep understanding of their needs and pain points.
Support smooth releases and ensure platform adoption across the organization.
Provide clear direction and smart prioritization, helping a highly capable and opinionated team stay focused and deliver exceptional results.

Join our company's Autonomous Vehicle group as a Software Engineer and be part of revolutionizing the way vehicles operate, from accident prevention to fully autonomous driving. This role may offer a flexible work arrangement with 2 days in Tel Aviv/Ramat Gan and 2 days in Jerusalem.
What will your job look like?
Development of the AV Applications (add new features, improve the design, literature review as needed, etc.)
Maintenance of the AV Applications (address bugs and issues for internal and external customers)
Development and automation of the surrounding tools.

We are looking for an experienced Deep Learning Algorithm Developer to join one of our teams developing perception technologies for autonomous driving. Our group tackles diverse challenges from object detection and scene understanding to 3D perception using large-scale, real-world in-house datasets and state-of-the-art deep learning models.
What will your job look like:
Develop and train neural networks for complex perception tasks in real-world driving environments.
Design and analyze deep learning pipelines, from data to deployment.
Collaborate with algorithm, software, and data experts to deliver production-ready models.
Research and apply new methods in computer vision, 3D perception, and multi-task learning to improve performance and efficiency.