Staff Validation Systems Engineer, AI Validation
Wayve · London, United Kingdom
Roboticsonsitestaff
At a glance
Highlights
- Build validation strategies and evidence for the Wayve AI Driver.
- Validate ADAS functions like lane keeping for L2 autonomy.
- Build test suites spanning simulation and physical testing.
What they offer
- Salaries benchmarked against the market annually
- Meaningful equity
- Relocation support and visa sponsorship where applicable
- Hybrid working and hands-on access to workshops and labs
- Learning and development support
- Comprehensive location-dependent health, family, retirement, and wellbeing benefits
Ideal candidate
You are an ownership-driven validation engineer excited by safe autonomy who thrives in ambiguity and turns complex product and safety questions into clear, evidence-based release recommendations.
Requirements
- Understand how automotive companies and OEMs develop and validate ADAS or L2 autonomy products
- Can translate customer, safety, regulatory, and product expectations into structured validation strategies
- Hands-on experience building scenarios, metrics, test suites, evaluation pipelines, or data-analysis workflows
- Can use Python professionally and are comfortable with SQL or similar large-scale analysis tools
- Have validated complex systems in simulation, the real world, or both
- Communicate clearly, document decisions well, and can own ambiguous problems from concept through evidence and recommendation
- ML, computer vision, motion planning, SOTIF, safety validation, or modern AI-tooling experience is advantageous
- For M4 scope, experience leading people or coordinating a validation function; for TC4, strong senior individual-contributor ownership
- remote policy
- hybrid
- visa sponsorship
- available where applicable
- hiring process
- Manager Screen (60 min), deep-dive technical interviews covering systems and domain expertise (4 hours), final interview focused on mission and values alignment (60 min)
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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