System Test Automation Engineer
Wayve · Leonberg, Germany
Roboticsremote
At a glance
Highlights
- Build embodied intelligence that moves real vehicles safely on roads.
- Own automated verification for embedded software from component to vehicle level.
- Develop traceability dashboards and KPIs to drive data-driven release decisions.
What they offer
- Salaries benchmarked against the market annually
- Hybrid working with core hours and hands-on work in vehicle workshops and labs
- Learning and development budgets with support for training, conferences and growth
- Comprehensive benefits including health insurance, dental, enhanced parental leave, pension, wellbeing support and team socials
Ideal candidate
Hands-on system verification engineer who thrives in unstructured, fast-moving environments and takes ownership from root-cause to release. You care about safe autonomy and finding efficient ways to deliver reliable results across hardware and software.
Requirements
- Hands-on experience with system-level verification and validation in robotics, embedded software or mechatronic systems
- Highly proficient in Python and experience developing automation test frameworks using pytest
- Experience with HIL testing and tooling including CAN, Ethernet or GMSL interfaces
- Understanding of open-loop and closed-loop HIL replay testing
- Familiar with automotive safety and process standards including ISO 26262, ASPICE and SOTIF
- Experience integrating requirements and test-management tools such as Jama and Xray
- Proficient in CI/CD principles and tooling such as Buildkite, GitLab CI and Bazel
- Experience developing or testing automotive software at embedded and system levels including L2+ to L4 automated driving
- remote policy
- hybrid
- hiring process
- Mission & values alignment interview (45 minutes)
Lab profile
About Wayve
London-based AI lab building embodied driving intelligence for autonomous vehicles.
What they build
- Wayve Driver embodied AI driving software
- GAIA generative world models for driving
- LINGO language-grounded driving AI
Known for
- End-to-end embodied AI for driving
- Camera-first, mapless autonomy approach
- Large-scale real-world learning and simulation
Key facts
- Founded in 2017
- Headquartered in London, UK
- Backed by SoftBank Group, NVIDIA and Microsoft
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