Machine Learning Engineering Manager, Application Software

As a founding manager, you’ll launch and lead Wayve’s US-based Application Engineering team to localise and advance autonomous driving capabilities for the US. You’ll recruit, mentor, and oversee engineers spanning robotics and ML, delivering US-specific autonomy features and aligning with central teams and OEM partners. The role blends technical breadth with startup-like independence to shape Wayve’s autonomy strategy in a distinct regulatory and road environment. You’ll drive pragmatic, high-impact work that scales across Wayve’s global engineering effort.

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

• Build and lead a US-based AV development team, hiring and mentoring in Robotics and ML.
• Deliver autonomy capabilities tailored to US road conditions and driving norms, with central Autonomy teams.
• Own full-cycle development from identifying local needs to design, test, and production deployment.
• Maintain high engineering standards while operating with agility and independence.
• Represent Wayve’s autonomy team in technical discussions with US OEM partners and shape joint development plans.
• Foster strong collaboration with product and vehicle operations teams in the US.

• Strong robotics and autonomy background with real-world deployment experience.
• Proven ability to lead and grow high-performing, possibly geographically distributed teams.
• Comfort with ambiguity; able to define goals, roadmaps, and deliver high-impact work autonomously.
• Broad fluency across software engineering, ML, controls, and systems integration.
• Excellent communication skills across cultures and time zones.
• Strong product sense and stakeholder management; interface with OEM customers.
• Prior experience in autonomous vehicles or robotic systems at scale.
• Familiarity with US road environment, driving behavior, or AV regulatory landscape.
• Solid foundation in machine learning and real-time decision-making or perception.

• strategic thinking
• effective communication
• cross-functional collaboration
• robotics
• autonomy
• machine learning