Machine Learning Engineering Manager, Application Software

Overview

You will lead Wayve’s new US Application Engineering team, building a self-sufficient group to localise and advance autonomous driving tech for the US. As a founding manager, you’ll hire and mentor engineers across robotics and ML, shaping autonomy features for US roadways and regulatory contexts. You drive end-to-end development from identifying needs to production deployment, while upholding high engineering standards. Your role links with OEM partners and US product and vehicle ops to align on strategy and delivery. This opportunity offers ownership, cross-functional impact, and the chance to shape Wayve’s US AV capabilities at scale.

Pay / Benefits

• salary benchmarked annually
• meaningful equity
• relocation support and visa sponsorship
• hybrid working with core hours
• learning and development budgets
• comprehensive benefits including health/dental

Responsibilities

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

Key requirements

• Strong background in robotics and autonomy with real-world deployment experience.
• Proven track record in growing and leading high-performing engineering teams, preferably across distributed settings.
• Comfort with ambiguity, able to define goals, roadmaps, and deliver high-impact work with limited supervision.
• Broad technical fluency across software engineering, ML, controls, and systems integration.
• Excellent communication skills for cross-cultural and time-zone collaboration.
• Strong product sense and stakeholder management, able to interface with OEM customers and external partners.
• Prior experience in autonomous vehicles or robotic systems at scale.
• Familiarity with US road environment, driving behaviour, or AV regulatory landscape.
• Solid foundation in machine learning applications to real-time decision-making or perception systems.

• leadership and people development
• clear communication across cultures
• stakeholder management
• robotics and autonomy systems
• machine learning for real-time decision-making or perception
• systems integration across software, ML, and controls

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