Tech Lead / Manager - Trajectory Generation and Controls

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

The role

In this role, you will lead Wayve’s Controls team, an experienced and growing group responsible for delivering robust real-world vehicle motion across our product platforms. You will guide a team working across controls, trajectory generation, and the interface with the Wayve AI Driver. The role combines technical leadership, team development, and delivery ownership, with the opportunity to shape both near-term product impact and the longer-term evolution of our technology. This is a high-impact opportunity to lead a critical team at the intersection of control, AI, and real-world vehicle behavior.

Key responsibilities:

• Lead and develop the Motion Controls team, providing strong people leadership, technical direction, and clear priorities for an experienced and growing group of engineers.
• Own the team’s technical roadmap and delivery across short and long term horizons, translating product and system needs into clear priorities, technical plans, and timely execution.
• Own the interface between the Wayve AI Driver, trajectory generation, and control in a deployed autonomy system.
• Provide strong technical judgment across control, trajectory generation, and adjacent ML-informed system design, holding a high bar for engineering quality, technical rigor, deployed system performance, and motion quality.
• Work with key partners to align technical plans, product needs, and integration constraints in the delivery of robust deployed motion behavior.
• Shape the future direction and growth of the team to address emerging challenges at the intersection of control, AI, and real-world vehicle behavior.

About you

In order to set you up for success as a TLM, Motion Controls at Wayve, we’re looking for the following skills and experience.

Essential

• Experience managing or leading engineers including setting priorities, driving execution, and supporting their growth and performance.
• Experience leading technical direction for complex autonomy, robotics, or other physical AI systems, ideally in autonomous vehicles or a closely related domain.
• Experience building, shipping, and maintaining production systems, including translating product and system requirements into technical plans and execution.
• Expertise in controls, trajectory generation, motion planning, or closely related autonomy problems, including strong understanding of physical system dynamics, closed-loop behavior, and controller design tradeoffs.
• Experience working on production systems that incorporate machine learning models, ideally in domains such as prediction, trajectory generation, planning, or control.
• Experience working across system boundaries, with the ability to consider factors across software, platform, and physical boundaries.
• Strong software engineering fundamentals, with experience delivering high-quality production code and setting a high technical bar for others.

Desirable

• Experience managing engineers and growing teams.
• Experience with classical search- or optimization-based motion planning, optimal control, MPC, or related motion-generation methods.
• Experience working in production release environments, ideally involving real hardware or multiple platforms
• Experience with automotive-grade software development processes or safety-related standards such as ISO26262 or SOTIF.
• Experience with Python and C++ in production autonomy or robotics systems.