Tech Lead / Manager - Trajectory Generation and Controls
About the role
The Tech Lead / Manager - Trajectory Generation and Controls role at Wayve involves leading the Motion Controls team, which is responsible for delivering robust real-world vehicle motion across Wayve’s product platforms. This role combines technical leadership, team development, and delivery ownership, with opportunities to shape both near-term product impact and the longer-term evolution of Wayve’s technology.
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
Essential Experience:
- Managing or leading engineers including setting priorities, driving execution, and supporting their growth and performance.
- Leading technical direction for complex autonomy, robotics, or other physical AI systems, ideally in autonomous vehicles or a closely related domain.
- 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.
What You’ll Get
A full-time role based in Sunnyvale, CA (hybrid).
Competitive salary range: $276,100 to $311,400.
A competitive equity package.
What You Won’t Get
- No cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, or application instructions.