Machine Learning Engineering Manager, App SW

Stack

Responsibilities

• ▹Build and lead a self-sufficient AV development team in the US, hiring and mentoring top Robotics and ML talent
• ▹Deliver autonomy capabilities tailored to local road conditions and driving norms, in collaboration with central Autonomy teams
• ▹Drive full-cycle development from identifying local autonomy needs to designing, implementing, testing, and deploying features
• ▹Ensure the team upholds Wayve's high engineering standards while operating with agility and independence
• ▹Work closely with US OEM partners, representing Wayve's autonomy team in technical discussions
• ▹Establish close working relationships with US product and vehicle operations teams

Requirements

• ▹Strong background in robotics and autonomy, with experience building and deploying systems in real-world environments
• ▹Demonstrated ability to lead and grow high-performing engineering teams, ideally in distributed or independent settings
• ▹Comfortable with ambiguity: can define goals, set roadmaps, and deliver high-impact work with minimal supervision
• ▹Broad technical fluency across software engineering, ML, controls, and systems integration
• ▹Excellent communication skills conveying technical context and strategic vision across cultures and time zones
• ▹Strong product sense and stakeholder management, comfortable interfacing directly with OEM customers

Nice to have

• ▹Prior experience in autonomous vehicles or robotic systems operating at scale
• ▹Familiarity with US road environment, driving behaviour, or AV regulatory landscape
• ▹Strong foundation in machine learning applied to real-time decision-making or perception systems

Soft skills

What we offer

• ▹Competitive equity package
• ▹Hybrid working policy based in Sunnyvale, CA or Detroit
• ▹Estimated salary range $336,400–$381,600

About the company

Wayve builds embodied AI for the physical world, starting with autonomous driving, pioneering the AV2.0 approach with its GAIA and LINGO foundation model families, tested zero-shot across hundreds of cities.