Control Engineer

Wayve Wayve · Robotics · Leonberg, Germany · Product & Delivery

Wayve is seeking a Control Engineer to join their Application Engineering team in Germany. The role focuses on localizing and advancing Wayve's autonomous driving technology for the German market, integrating, validating, and optimizing their MPC-based trajectory controller and AI software stack on new vehicle platforms. This involves working at the intersection of controls, systems integration, and applied machine learning to ensure safe and reliable driving in diverse real-world conditions.

What you'd actually do

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

Skills

Required

  • 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.

Nice to have

  • Experience with control, dynamics and modelling of road vehicles.

What the JD emphasized

  • MPC-based trajectory controller
  • ML-driven trajectory generation
  • control theory
  • optimisation
  • model-predictive control
  • state estimation
  • numerical methods
  • control systems
  • real-time controllers

Other signals

  • autonomous driving
  • AI software stack
  • MPC-based trajectory controller
  • ML-driven trajectory generation