Machine Learning Engineering Manager (App SW)

Join Wayve, a pioneering company in the autonomous driving industry. As a Machine Learning Engineering Manager, you will lead a new Application Engineering team focused on localizing and advancing our autonomous driving technology for the US market. You will drive the development of autonomy features tailored to the US's road infrastructure, cultural driving behaviors, and regulatory landscape. This is a unique opportunity to shape Wayve's AV capabilities in the US from the ground up.

• Lead and manage a team of engineers focused on developing autonomy features tailored for the US market, ensuring the AV stack performs safely and effectively.
• Drive the full-cycle development of autonomy capabilities, from identifying local autonomy needs to designing, implementing, testing, and deploying features into production.
• Establish close working relationships with OEM partners in the US, representing Wayve’s autonomy team in technical discussions and shaping joint development plans.
• We’re looking for someone who thrives in self-directed, startup-like conditions, capable of setting a vision, executing fast, and making robust decisions independently — while staying aligned with global engineering efforts
• This role requires breadth: strong experience across AV systems, including robotics and autonomy, is essential. If you also bring deep expertise in machine learning, that's a major plus
• To be successful in this role, you'll bring strong technical expertise, proven leadership skills, and a passion for building robust autonomous systems that can adapt to diverse real-world challenges
• Excellent communication skills: you’re able to clearly convey technical context and strategic vision across cultures and time zones
• Broad technical fluency: capable of reviewing and guiding work across software engineering, ML, controls, and systems integration
• Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings
• A strong background in robotics and autonomy, with experience building and deploying systems that operate in real-world environments
• Strong product sense and stakeholder management skills: you’re comfortable interfacing directly with OEM customers and representing engineering in external-facing conversations
• Comfortable with ambiguity: you can define goals, carve out roadmaps, and deliver high-impact work with minimal supervision
• Prior experience in autonomous vehicles or robotic systems operating at scale
• A strong foundation in machine learning and its application to real-time decision-making or perception systems
• Familiarity with US's road environment, driving behaviour, or AV regulatory landscape
• 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