Tech Lead / Manager - Trajectory Generation and Controls

Wayve

$130K — $180K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience managing or leading engineering teams.
  • Proven track record in autonomy, robotics, or physical AI systems, particularly in autonomous vehicles.
  • Experience in building and maintaining production systems, translating requirements into actionable technical plans.
  • Expertise in controls, trajectory generation, or motion planning, with a solid grasp of system dynamics and controller design.
  • Familiarity with machine learning models in production systems related to motion, planning, or control.
  • Ability to navigate system boundaries effectively, considering software and hardware integration.
  • Strong software engineering skills and experience delivering production-quality code.

Responsibilities

  • Lead and develop the Motion Controls team, enhancing both technical performance and team growth.
  • Own the technical roadmap and oversee execution plans for both short-term and long-term projects.
  • Manage the integration between the Wayve AI Driver and motion control systems within autonomous vehicles.
  • Provide technical direction and maintain high engineering standards in controls and motion quality.
  • Collaborate with partners to align technical strategies with product requirements and implementation challenges.
  • Guide the future evolution of the team to tackle challenges in AI and vehicle motion systems.

Benefits

  • Hybrid working policy that balances time in the office and remote work.
  • Opportunity to lead a high-impact team at the forefront of autonomous vehicle technology.
  • Support for an inclusive interview experience and accommodations for applicants in the hiring process.
  • A culture that emphasizes innovation, collaboration, and continuous learning in automotive technology.
Full Job Description
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.


This is a full-time role based in our office in Sunnyvale or London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

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