Machine Learning Engineering Manager, Application Software

Job description

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About the role We're looking for an exceptional leader to spearhead our new Application Engineering team, a self-sufficient and high-impact group focused on localising and advancing our autonomous driving technology for the US market. This is a unique opportunity to shape Wayve’s AV capabilities in the US from the ground up. As a founding manager, you’ll lead a small but mighty team of engineers working across robotics, machine learning, and systems integration. You'll drive development of autonomy features tailored for US's road infrastructure, cultural driving behaviours, and regulatory landscape, ensuring our AV stack performs safely and effectively in this highly distinctive environment. 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. 🧩 What you’ll be working on - Build and lead a self-sufficient AV development team in the US, hiring and mentoring top talent across Robotics and ML. - Deliver autonomy capabilities tailored to road conditions and driving norms, in close collaboration with central Autonomy teams. - Drive full-cycle development: from identifying local autonomy needs, to designing, implementing, testing, and deploying features into production. - Ensure the team upholds Wayve’s high engineering standards, while operating with agility and independence. - Work closely with OEM partners in the US — representing Wayve’s autonomy team in technical discussions, capturing product requirements, and shaping joint development plans. - Establish close working relationships with our product and vehicle operations teams in the US. 🙌 You should apply if You bring strong technical expertise, proven leadership skills, and a passion for building robust autonomous systems that can adapt to diverse real-world challenges. Essential - A strong background in robotics and autonomy, with experience building and deploying systems that operate in real-world environments. - Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings. - Comfortable with ambiguity: you can define goals, carve out roadmaps, and deliver high-impact work with minimal supervision. - Broad technical fluency: capable of reviewing and guiding work across software engineering, ML, controls, and systems integration. - Excellent communication skills: you’re able to clearly convey technical context and strategic vision across cultures and time zones. - Strong product sense and stakeholder management skills: you’re comfortable interfacing directly with OEM customers and representing engineering in external-facing conversations. Essential - Prior experience in autonomous vehicles or robotic systems operating at scale. - Familiarity with US's road environment, driving behaviour, or AV regulatory landscape. - A strong foundation in machine learning and its application to real-time decision-making or perception systems. 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable