Machine Learning Engineering Manager, App SW

Wayve•Detroit, MI

6h•$336,400 - $381,600•Hybrid

About The Position

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! 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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.