Applied Scientist II - Robotics Simulation, Amazon Robotics R&D
Core
Design, build, and validate simulation environments and policy training pipelines to enable robots to learn manipulation and mobility skills in simulation and transfer them to real hardware.
Role type
Applied Scientist II, Robotics Simulation
Builds
GPU-accelerated RL environments, policy training pipelines, and digital twins for robot learning
Domain
Robotics, Physical AI, Reinforcement Learning
Deliverable
production ML models
Required skills
Reinforcement learning, Imitation learning, Physics simulation, Domain randomization, Sim-to-real transfer, Robot kinematics, GPU-accelerated training, System identification, Visual domain adaptation, Articulated robot modeling
Preferred skills
Real robot deployment, NVIDIA Isaac Lab/Omniverse, Vision-language-action models, Teleoperation systems, Contact dynamics modeling, ROS2, Trajectory optimization
Technologies
NVIDIA Isaac Lab, PyTorch, JAX, MuJoCo, Drake, USD, URDF, HDF5, zarr, MoveIt, OMPL
Responsibilities
Design and implement GPU-accelerated RL and imitation learning environments; Build and maintain policy training pipelines; Characterize and reduce sim-to-real gaps; Implement domain randomization strategies; Develop sim-to-real transfer techniques; Create robot embodiment validation tests; Build data pipelines for demonstration data; Author design documents for simulation capabilities.
Seniority
Mid-level, hands-on IC