Control Engineer

About this role

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Application Engineering Team(s) 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.

This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Germany from the ground up. 🧠 Your day-to-day We’re seeking an exceptional Control 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. 🧩 What you’ll be working on 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. 🙌 You should apply if 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.