Research Engineer - Robotic Hardware, Simulation and Data
Applied Intuition · Sunnyvale · onsite
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