Control Engineer

📋 Description

• Integrate and validate Wayve's AI software stack and MPC-based trajectory controller on customer
• Maintain and enhance the controller (coupled with ML-driven trajectory generation) to improve
• Establish and advance control and integration methods for ML-coupled systems, ensuring robustness
• Test and optimise system behaviour in challenging driving scenarios — from highways to urban
• Develop and refine simulation and evaluation pipelines to guarantee real-world optimality and
• Collaborate with cross-functional teams (Verification, Release, OEM partners) to diagnose and

🎯 Requirements

• Strong theoretical knowledge of control theory, optimisation, model-predictive control, state
• Practical experience in developing and tuning control systems for physical systems, both in
• Experience productionising and scaling systems including real-time controllers and monitoring their
• Strong C++ and Python.
• Desirable: Experience with control, dynamics and modelling of road vehicles.

🎁 Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave