Description
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future.
We're seeking an exceptional Control Engineer to join our Germany-based team within the Application Engineering org, focused on localising and advancing Wayve's autonomous driving technology for the German market.
Your day-to-day: 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.
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.
Requirements:
- 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.
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, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more