Applied Scientist II - Robotics Simulation, Amazon Robotics R&D

Amazon

Boston, MA, US
On-site
Gpu-accelerated rl environments
Reinforcement learning
Imitation learning

Skills & Requirements

Must-have

  • GPU-accelerated RL environments
  • reinforcement learning
  • imitation learning
  • sim-to-real transfer
  • physics parameter tuning
  • policy evaluation
  • collaboration with SDEs

Nice-to-have

  • experience with NVIDIA Isaac Lab
  • domain randomization strategies
  • robot embodiment validation
  • data pipeline development
  • contact dynamics tuning

Key Requirements

  • Experience with GPU-accelerated RL environments
  • Knowledge of reinforcement learning and imitation learning
  • Ability to characterize and reduce sim-to-real gaps
  • Experience with physics parameter calibration
  • Collaboration with cross-functional teams

Work Rights

Not specified

Tailored Resume

Cover Letter