Predict behavior of surrounding traffic onboard and in simulation.
Develop state-of-the-art generative sequence models for trajectories.
Collaborate with Planning to build controllable agents for closed-loop training.
Mitigate uncertainties across autonomy components.
Deploy models on real vehicles and in simulation environments.

🎯 Requirements

M.Sc. or Ph.D. in CS/AI/Math or related field.
2+ years deploying ML systems onboard; robotics/predictive ML preferred.
Strong Python; C++ beneficial; PyTorch proficiency required.
Experience in sequential decision-making, RL, imitation learning, diffusion/large models.
Publications in top ML/robotics venues preferred.

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