Controls Engineer

Overview

As a Robotics Controls Engineer at Wayve you translate AI Driver outputs into safe, smooth vehicle motion across platforms. You will design and tune trajectory- and motion-control algorithms, integrate them with real-time vehicle actuation, and ensure robust, production-quality performance. You’ll work across teams to enable new vehicle platforms and features, using simulation and on-road testing to validate improvements. This role offers the chance to shape AV control systems at scale and contribute to a mission to universalize autonomy.

Pay / Benefits

• Salaries benchmarked against market
• Meaningful equity
• Relocation support and visa sponsorship
• Hybrid working with core hours
• Learning and development budgets
• Comprehensive benefits: health, dental, parental leave, retirement/pension, wellbeing partnerships

Responsibilities

• Develop, integrate, tune, and validate control, trajectory-generation, and action-processing algorithms across vehicle platforms and driving conditions
• Maintain and evolve controls software architecture linking AI outputs to real-time 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 characterize controller behavior and diagnose issues
• Collaborate with Wayve teams to define controller interfaces, integrate with adjacent systems and enable new vehicle platforms and product features
• Develop and improve vehicle trajectory and motion controllers translating AI Driver outputs into safe, smooth motion across platforms (ADAS and AV)

Key requirements

• Strong fundamentals in control theory with depth in optimization, model-predictive control, numerical methods or dynamical systems
• Practical experience developing, tuning and validating control or motion systems on real-world physical systems
• Strong software engineering skills with production-quality C++
• Experience with latency-sensitive or real-time software
• Ability to reason about and debug system-level behavior in complex robotic systems across software and hardware
• Applied experience with model predictive control, trajectory optimization, motion planning
• Direct experience with mobile robotics or autonomous vehicle systems
• Experience in the automotive industry including ADAS or vehicle controls
• Experience with safety-critical systems and relevant standards (ISO 26262)
• Applied machine learning experience or integrating ML components

• cross-functional collaboration
• problem-solving mindset
• curiosity and willingness to learn
• C++ production-quality software
• latency-sensitive real-time systems
• model predictive control (MPC)

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