Controls Engineer

• Develop and improve the vehicle trajectory and motion controllers that turn Wayve AI Driver outputs into safe, smooth, robust vehicle motion. • Work across different vehicle platforms and applications, covering both ADAS and AV. • Develop principled controls approaches and implement real-time systems. • Test in complex scenarios and refine Wayve’s evaluation pipelines. • Join the AV Engineering organisation and grow alongside a focused team of experts at the forefront of autonomous driving. • Make a direct impact on the AV industry. • Work hybrid from the London office, combining time in offices and workshops with working from home.

• Bring strong fundamentals in control theory, with depth in one or more of optimisation, model-predictive control, numerical methods, or dynamical systems. • Bring practical experience developing, tuning, and validating control or motion systems on real-world physical systems. • Bring strong software engineering skills, including building reliable production-quality systems in C++. • Bring experience with latency-sensitive or real-time software. • Reason about and debug system-level behaviour in complex robotic systems across both software and hardware. • Be based in London for this hybrid, full-time role.

• Bring applied experience with model predictive control, trajectory optimisation, or motion planning. • Bring direct experience with mobile robotics or autonomous vehicle systems. • Bring automotive industry experience, including ADAS or vehicle controls. • Bring experience with safety-critical systems, validation, and relevant industry standards such as ISO 26262. • Bring applied machine learning experience, or experience developing systems that integrate with ML components. • Apply even if you do not meet every requirement, as Wayve encourages people passionate about self-driving cars to get in touch. • Let Wayve know if you need any accommodations or adjustments to take part fully in the interview process.

• Develop, integrate, tune, and validate control, trajectory-generation, and action-processing algorithms across vehicle platforms, operating modes, and challenging driving conditions. • Ensure robust real-world performance rather than results that only hold in testing. • Maintain and evolve the controls software architecture connecting AI Driver outputs to real-time vehicle actuation and feedback. • Implement and maintain production-quality, latency-sensitive control software in C++ for prototype, reference, and production vehicles. • Use simulation, closed-loop evaluation, and on-road testing to characterise controller behaviour, diagnose performance issues, and validate improvements. • Work with teams across Wayve to define controller interfaces and integrate with adjacent systems. • Enable new vehicle platforms and product features.

Wayve is one of the most exciting AI companies in the UK right now. They are tackling one of the hardest problems in technology, teaching machines to drive, and they are doing it with an approach that the rest of the industry is now converging towards. Backed by SoftBank, Microsoft, NVIDIA, Uber, Mercedes-Benz, Nissan, and Stellantis, Wayve has raised $2.8 billion in total funding and reached a valuation of $8.6 billion. With over 1,000 employees across London, Silicon Valley, Vancouver, Leonberg, Herzliya, and Tokyo, Wayve is scaling fast while keeping its London HQ at the centre. What stands out on Glassdoor (4.4/5 from 112+ reviews) is how consistently employees praise the culture, the calibre of colleagues, and the quality of the technical work. People describe it as some of the most interesting work of their careers. Wayve also offers an on-site chef, private healthcare, competitive pay with equity, and a genuine learning environment where you work alongside world-class ML researchers and engineers. That said, some reviews flag that the pace can be intense and that working across global time zones can stretch working hours. If you are an engineer, researcher, or operator who wants to work on genuinely frontier technology with real-world impact, and you thrive in fast-paced, mission-driven environments, Wayve is a rare opportunity.

• Work on cutting-edge controls problems at the point where AI outputs meet real vehicle motion. • Test your work in simulation, closed-loop evaluation, and on real roads. • Work across both ADAS and AV applications rather than a single platform. • Work hybrid, combining time in the London office and workshops with working from home. • Grow alongside a focused team of experts in autonomous driving technology. • Contribute to an inclusive environment that values diversity and new perspectives.

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Its advanced AI software and foundation models let vehicles perceive, understand, and navigate any complex environment, improving the usability and safety of automated driving systems. Wayve builds intelligent, mapless, hardware-agnostic AI products for automakers, aiming to accelerate the transition from assisted to automated driving and create autonomy that propels the world forward.