Machine Learning Engineering Manager, Application Software

📋 Description

• Lead a self-sufficient AV development team in the US, hiring and mentoring top talent across
• Deliver autonomy capabilities tailored to road conditions and driving norms, in close collaboration
• Drive full-cycle development: from identifying local autonomy needs, to designing, implementing
• Ensure the team upholds Wayve’s high engineering standards, while operating with agility and
• Work closely with OEM partners in the US, representing Wayve’s autonomy team in technical
• Establish close working relationships with product and vehicle operations teams in the US.

🎯 Requirements

• A strong background in robotics and autonomy, with experience building and deploying systems that
• Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically
• Comfortable with ambiguity: define goals, carve out roadmaps, and deliver high-impact work with
• Broad technical fluency: capable of reviewing and guiding work across software engineering, ML
• Excellent communication skills to convey technical context and strategic vision across cultures and
• Strong product sense and stakeholder management skills, comfortable interfacing directly with OEM

🎁 Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave