Applied Scientist II - Robotics Simulation, Amazon Robotics R&D
Tasks
- Author design documents
- Build and maintain policy training pipelines
- Build demonstration data pipelines
- Characterize and reduce sim to real gaps
- Collaborate with partner science teams
- Create robot embodiment validation tests
- Design and implement GPU accelerated reinforcement learning and imitation learning environments
- Develop sim-to-real transfer techniques
- Implement domain randomization strategies
- Tune contact dynamics and end effector interactions
Perks/Benefits
- 401k plan
- Dental coverage
- Maternity leave options
- Medical, dental & vision coverage
- Paid time off
- Parental leave
- Vision coverage
Skills/Tech-stack
Articulated Body Dynamics | Body Dynamics | Contact dynamics | Data pipeline | Digital Twins | Domain Adaptation | Domain Randomization | Drake | GPU Acceleration | HDF5 | Imitation Learning | Imitation Learning Workflows | Isaac Lab | Isaac Sim | JAX | Learning environments | MJCF | Machine Learning | Motion Planning | MoveIt | Mujoco | NVIDIA Isaac | NVIDIA Isaac Lab | NVIDIA TensorRT | OMPL | Parallel simulation | Physics Calibration | Physics simulation | PyBullet | PyTorch | Python | ROS2 | Reinforcement Learning | Reinforcement Learning Environments | Rigid body | Rigid body dynamics | Robot simulation | Sim-to-Real | Soft Body | Soft body dynamics | System Identification | System Modeling | Teleoperation | Trajectory Optimization | URDF | USD | Visual Domain Adaptation | Zarr
Education
Roles
Regions
Countries
States
Cities
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