Tech Stack

Description

You will work on cutting-edge research in robot learning and physical AI, supporting hardware setup, building simulation environments, processing human data, and collaborating with scientists on publications. Your work will directly impact autonomous systems across automotive, defense, and robotics.

Requirements

• Hands-on experience in world-action foundation models, video/Gaussian generation, diffusion policy, multi-modal robot learning, VLA post-training, reinforcement learning, or physics-aware reconstruction
• Strong engineering and research skills
• Proficiency in Python, PyTorch, computer vision, robotics systems, and distributed ML model training

Responsibilities

• Support robotic and data collection hardware setup and design mechatronic systems
• Construct robotic simulation environments at scale for RL training
• Process human data for robotic use cases
• Work with Research Scientists on high-quality research publications
• Collaborate with engineering teams to deploy end-to-end algorithms for mass production vehicles