Support robotic and data collection hardware setup and design mechatronic systems.
Build robotic simulation environments at scale for RL training.
Process human data for robotic use cases.
Collaborate with researchers and interns on publications for top conferences.
Collaborate with engineering on ADAS, data, and simulation to deploy end-to-end autonomy algorithms.

🎯 Requirements

World-action foundation models, video/Gaussian generation, diffusion policy, multi-modal learning
VLA post-training, reinforcement learning
Physics-aware reconstruction, deformable simulation
Passion for scalable autonomy; strong engineering/research skills; self-driving exp preferred
Python, PyTorch, computer vision, robotics, distributed ML training
MSc/PhD in ML/CV with autonomy; industry experience a plus

🎁 Benefits

Health, dental, vision, life and disability insurance
401k retirement benefits with employer match
Learning and wellness stipends
Paid time off

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