Lead critical ML initiatives that push model-based autonomous driving, including personalization
Design and deliver ML-driven behaviors that scale from assisted to autonomous driving.
Collaborate with AI Platform, Simulation, Robot SW and Model Release teams to build

🎯 Requirements

Shipping deep learning systems to production with strong track record.
Deep learning expertise in sequential models, control, planning, or perception.
Proficient in Python and languages like C++ and CUDA; strong software engineering foundations
Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop
Ability to lead technical initiatives, drive alignment, and mentor engineers.

🎁 Benefits

Hybrid work policy with time in the office and time working from home.
Core working hours to help schedule with your team.
Competitive salary and equity package; opportunities for growth.

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