Controls Engineer
Wayve · London, United Kingdom
Roboticsonsite
At a glance
Highlights
- Translate AI Driver outputs into safe, smooth motion on real vehicles.
- Build trajectory and motion controllers across ADAS and AV platforms.
- Validate controllers via simulation, closed-loop tests and on-road trials.
What they offer
- Salaries benchmarked against the market annually
- Meaningful equity sharing in long-term success
- Learning and development budgets with training support
- Comprehensive health, dental and parental leave benefits
Ideal candidate
A hands-on roboticist who loves bridging theory and real vehicles and owns systems end-to-end. You thrive in fast-moving, unstructured teams and care about safe, comfortable autonomous motion in the real world.
Requirements
- Strong fundamentals in control theory with applied optimization, MPC, numerical methods or dynamical systems
- Practical experience developing, tuning and validating motion control on real physical systems
- Experience with test and validation discipline including simulation and closed-loop metrics
- Strong software engineering skills building production-quality systems in C++
- Experience with latency-sensitive or real-time software
- Ability to debug system-level behaviour across software and hardware
- remote policy
- Hybrid working with core hours
- visa sponsorship
- Visa sponsorship and relocation support where applicable
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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