Robotics Researcher, Manipulation

Tasks

• Build grasp planning and contact rich control pipelines
• Contribute to open-source releases
• Design data collection and teleoperation infrastructure
• Develop manipulation policies for dexterous task execution
• Diagnose failure modes on hardware
• Improve manipulation systems based on real world results
• Integrate manipulation with perception stack
• Train manipulation policies with imitation learning
• Train manipulation policies with reinforcement learning

Perks/Benefits

• Collaborative research environment
• Competitive compensation
• Equity
• Open source contributions
• Work on Physical Robots

Skills/Tech-stack

C plus plus | Contact Rich Control | Control Theory | Data collection | Grasp Planning | Imitation Learning | JAX | Motion Planning | Perception Systems | PyTorch | Python | Reinforcement Learning | Robotics | Simulation | Teleoperation