Control Engineer

About the role

We're seeking an exceptional Engineer to join our Germany-based Application Engineering team, focused on localising and advancing Wayve's autonomous driving technology for the German market. You'll play a pivotal role in integrating, validating, and optimising our MPC-based trajectory controller and AI software stack on new vehicle platforms ensuring safe, reliable, and high-performance driving in diverse real-world conditions. This is a unique opportunity to work at the intersection of controls, systems integration, and applied machine learning , helping expand our AV capabilities across new operational domains while collaborating closely with robotics, ML, and vehicle engineering experts.

Responsibilities

• 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.
• About you
• In order to set you up for success as a Software Engineer at Wayve, we're looking for the following skills and experience.
• Essential:
• 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.
• Desirable:
• Experience with control, dynamics and modelling of road vehicles.
• We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

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