Vehicle Performance Modelling Engineer, Robotics
Wayve · London, United Kingdom
Roboticsonsite
At a glance
Highlights
- Build virtual vehicle models that improve simulation accuracy and real driving.
- Define what representative means for simulations via metrics and KPIs.
- Run experimental track tests to improve model accuracy with partners.
What they offer
- Salaries benchmarked against the market annually
- Meaningful equity
- Relocation support and visa sponsorship where applicable
- Hybrid working with core hours
- Learning and development budgets
- Comprehensive benefits including health insurance and dental
Ideal candidate
You are a hands-on vehicle dynamics enthusiast who loves blending physics with data to make simulations match reality and enjoys track testing and collaborating across robotics and simulation teams.
Requirements
- Experience developing mathematical models and simulation algorithms for vehicle dynamics, robotics, or control systems
- Strong grasp of classical mechanics, numerical analysis, and computational methods
- Experience validating simulation models against experimental data
- Confident writing production-quality code in C++ or Python
- Previous experience in vehicle dynamics for autonomous vehicles, automotive, or motorsport
- Comfortable with data-driven approaches such as machine learning or system identification
- Familiarity with high-fidelity vehicle dynamics tools like Dymola, CarSim, CarMaker
- remote policy
- Hybrid working with core hours
- visa sponsorship
- Visa sponsorship 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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