Manages the Product Engineering group within the AI Engineering organisation, reporting to the VP of Autonomy, responsible for turning AI model backbones into a production-quality autonomous vehicle capability roadmap.
Responsibilities
- ▹Collect, filter, and select relevant training data, then train, tune, and debug production models
- ▹Define and own the technical vision, strategy, and metrics for the area
- ▹Frame autonomous driving as a data-solvable problem, defining efficient data curricula for product and geographic coverage
- ▹Drive an eval-driven culture to reach KPI targets with predictability and resource efficiency
- ▹Lead multiple teams (Driving, ADAS, Parking, HMI) and guide Engineering Managers
- ▹Build technical capabilities across the division and develop talented engineers as Wayve grows
Requirements
- ▹Track record delivering successful autonomy products built on complex AI models
- ▹Management experience leading complex teams, e.g. multiple layers or matrixed
- ▹Domain skills in autonomy products - autopilot/navigation, active safety, parking
- ▹Product delivery skills: roadmap articulation, interfacing with leadership and business functions
- ▹Execution skills: resource allocation, program planning and execution 1-2 years out
- ▹Engineering skills: code development practices, testing, serviceability
- ▹BS or MS in Computer Science, Engineering, or similar experience
Nice to have
- ▹Experience applying foundation models to implement specific product features
- ▹Experience working with multiple automotive OEMs
- ▹Experience with GenAI simulation
- ▹Experience with cloud platforms, databases, large-scale data pipelines
Soft skills
Leadership presence with a career-growth mindset toward team membersBuilds resilient, reliable systems, teams, and individualsMaintains a culture of impact and performance in partnership with senior leadership
What we offer
- ▹Competitive equity package
- ▹Hybrid working policy based in London or Sunnyvale
- ▹Estimated salary range $440,000–$580,000
About the company
Wayve builds embodied AI for the physical world, starting with autonomous driving, pioneering the AV2.0 approach with its GAIA and LINGO foundation model families, tested zero-shot across hundreds of cities.
Education: BS vagy MS informatika, mérnöki tudományok vagy hasonló tapasztalat
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