We are looking for a highly skilled System Integration Engineer with a strong system-level mindset and a passion for solving complex technical challenges.
The ideal candidate combines deep technical understanding with a hands-on approach, can analyze complex system behaviors, drive root-cause investigations, and lead integration activities across multidisciplinary teams.
In this role, you will play a key part in shaping system integration and validation strategies, influencing technical decisions, and ensuring the delivery of a reliable, high-quality automotive product.
What will Your job look like:
Lead end-to-end integration activities of complex automotive systems and drive technical ownership across multiple domains.
Analyze complex system behaviors, identify bottlenecks, investigate failures, and drive root-cause analysis activities.
Work closely with software, hardware, algorithm, and system teams to ensure successful integration and product maturity.
Develop integration, validation, and debug methodologies for complex multidisciplinary systems.
Define and execute system-level validation strategies, test plans, and performance evaluations.
Identify technical risks early and drive mitigation plans.
Influence system architecture and technical decisions through deep system understanding and data-driven analysis.
Create technical documentation, validation reports, and engineering recommendations.

We are looking for a Validation & Analysis Project Manager to lead the design and implementation of validation infrastructure for Radar, LiDAR, and sensor fusion systems within the AV Sensing team.
This role requires working at our Jerusalem offices 2 days per week.
What will your job look like:
Own the end-to-end validation process for autonomous sensing systems (Radar, LiDAR, and sensor fusion), from definition to execution
Build the validation infrastructure, methodologies, and workflows required to ensure system robustness and safety
Define validation strategy: test coverage, success metrics, and failsafe verification approaches
Translate product and system requirements into structured validation plans and measurable outcomes
Work in close collaboration with R&D, algorithms, system engineering, and product teams
Identify gaps in testability, observability, and lead solutions to address them
Establish scalable processes for validation, monitoring, and continuous improvement
Present insights, risks, and recommendations to stakeholders to drive decision-making.