Research Engineer - Robotic Hardware, Simulation and Data

You will support robotic hardware and data-collection setup, design mechatronic systems, build robotic simulations for reinforcement-learning training, process human data, publish research, and collaborate on deployed autonomy and simulation systems.

Responsibilities

• Support robotic hardware and data-collection setup
• Design mechatronic systems for customized requirements
• Construct robotic simulation environments for reinforcement-learning training
• Process human data for robotic use cases
• Work on research publications for top-tier conferences
• Collaborate with engineering teams to deploy autonomy algorithms and simulation tools

Requirements

• Hands-on experience with humanoid or general robotics, human-data-collection hardware, robotic simulation, deformable-object simulation, human-data processing, retargeting, pose estimation, or SLAM
• Experience with Python, PyTorch, computer vision, robotics systems, and distributed machine-learning model training
• Master's or PhD in machine learning, computer vision, autonomy, robotics, or a closely related field
• At least 1 year of experience in autonomy and robotics applications or a closely related field

Benefits

• Equity in the form of options and/or restricted stock units
• Health, dental, vision, life, and disability insurance
• 401k retirement benefits with employer match
• Learning and wellness stipends
• Paid time off