Machine Learning Engineering Manager, App SW

Stack

Responsibilities

• ▹Build and lead a self-sufficient AV development team in the US, hiring and mentoring talent across Robotics and ML
• ▹Deliver autonomy capabilities tailored to US 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
• ▹Uphold Wayve's high engineering standards while operating with agility and independence
• ▹Work closely with US OEM partners in technical discussions and capturing product requirements
• ▹Establish close working relationships with US product and vehicle operations teams

Requirements

• ▹Strong background in robotics and autonomy, building and deploying systems that operate in real-world environments
• ▹Demonstrated ability to lead and grow high-performing engineering teams, ideally in distributed or independent settings
• ▹Comfortable with ambiguity: defining goals and delivering high-impact work with minimal supervision
• ▹Broad technical fluency across software engineering, ML, controls, and systems integration
• ▹Excellent communication skills 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 the US road environment, driving behavior, or AV regulatory landscape
• ▹Strong foundation in machine learning applied to real-time decision-making or perception systems

Soft skills

What we offer

• ▹Salary range: $336,400-$381,600 per year, plus a competitive equity package
• ▹Hybrid work based in Sunnyvale, CA or Detroit

About the company

Wayve is a leader in end-to-end AI for autonomous mobility.