Software Engineer - Robotics, App SW

• Integrate and validate Wayve’s AI software stack and MPC-based trajectory controller on customer hardware and vehicle platforms
• Maintain and enhance the controller (coupled with ML-driven trajectory generation) to improve performance, stability, and reliability across different vehicles and environments
• Establish and advance control and integration methods for ML-coupled systems, ensuring robustness and scalability across operational domains
• Test and optimise system behaviour in challenging driving scenarios — from highways to urban settings and adverse weather conditions
• Develop and refine simulation and evaluation pipelines to guarantee real-world optimality and control quality
• Collaborate with cross-functional teams (Verification, Release, OEM partners) to diagnose and resolve integration and performance issues

• Strong theoretical knowledge of control theory, optimisation, model-predictive control, state estimation and numerical methods
• Practical experience in developing and tuning control systems for physical systems, both in simulation and in the real world
• Experience productionising and scaling systems including real-time controllers and monitoring their performance at scale
• Strong C++ and Python

Experience with control, dynamics and modelling of road vehicles