2 months ago
Japan (city not specified)Senior
Responsibilities
- Develop and improve end-to-end driving models with strong performance, robustness, and generalization.
- Lead initiatives involving personalized and collaborative driving, behavior conditioning, comfort tuning, and user alignment.
- Build evaluation pipelines and metrics for closed-loop and open-loop driving performance and product readiness.
- Curate and mine real-world and synthetic data to improve scenario diversity, coverage, and feature-specific development.
- Influence model architecture, training methodologies, and deployment pathways for production-scale learning systems.
- Collaborate with AI Platform, Simulation, Robot SW, and Model Release teams to integrate and iterate on autonomy systems.
- Lead technical initiatives, mentor engineers, and shape long-term technical direction across Autonomy.
Requirements
- Extensive, proven experience shipping deep learning systems to production.
- Expertise in deep learning, particularly sequential models, control, planning, or perception.
- Proficiency in Python and other relevant languages such as C++ and CUDA, along with sound software engineering practices.
- Experience with real-time systems or robotics, ideally involving simulation-in-the-loop or vehicle-in-the-loop components.
- Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.
- Experience in autonomous driving, imitation learning, trajectory prediction, personalization, human behavior modeling, driver intent inference, production hardware integration, or multi-agent simulation is desirable.
Benefits
- Full-time role based in Wayve’s Japan office.
- Hybrid working policy combining time in offices and workshops with time working from home.
- Inclusive interview accommodations and adjustments are available upon request.
Categories
ML EngineeringRobotics
About Wayve
Wayve builds end-to-end autonomous driving software—the vehicle-agnostic Wayve AI Driver—that runs on onboard compute and native sensors, licensed to automakers and fleet operators. Its platform spans ADAS and higher autonomy (L2+/L3 to robotaxi) and is designed to generalize across vehicle types and geographies. Founded in 2017 and headquartered in London, it tests its models across Europe, North America, and Japan, with a U.S. base in Sunnyvale, CA.