Functional Regression Engineer

Our vision is to bring new and cutting-edge automotive radar sensor solutions, leveraging our core assets and expertise to introduce the world’s best-in-class sensors in complement to end-to-end autonomous driving solution platforms.

As an engineer joining our excellent group working on advanced mmWave Imaging Radar technology, you will work in a dynamic and challenging environment, and closely collaborate with System Architecture, Embedded Software, Algorithm, and Hardware teams, for defining, integration and validation of Radar’s operational behavior and system-level flows.

What will your job look like:

• Own and run the Functional Regression cycles (nightly/weekly), from SW/HW drop till full status report.
• Execute and analyze Integration Test Plans.
• Develop, debug and maintain Python tests for multi projects running in parallel.
• Run and maintain CI/CD pipelines (GitLab CI, Jenkins, or equivalent) on Linux and Windows.
• Work hand in hand with Software and Algorithm teams over regression and integration finds or requests.
• Triage cycle results with smart bug/test verdict classifications using AI/SQL/Cloud based analysis tools.
• Lab Hands-On: Build, integrate and maintain regression and integration test environments - Both SW and HW.

All you need is:

• B.Sc. in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or equivalent.
• 3+ years hands-on experience in test automation, software/firmware validation and integration.
• Python coding skills. Experaince with PyTest or a similar Python test framework - advantage
• Practical CI/CD execution life cycle experience for multi-Product environment.
• Regression Infrastructure experience: Git, GitLab, JIRA and Confluence.
• Hands-on Linux and Windows.
• Advanced logging and test analysis debug skills.
• Ability to work in Agile and highly dynamic development mode.

Nice to have:

• Experience with Network stack: IPv4, UDP/TCP, Wireshark Debug.
• Experience with Automotive or ADAS validation, especially radar or other sensors.
• Experience with Firmware RT Debugging.
• Experience with AI coding tools (Cursor, GitHub Copilot, Claude).