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Amazon Robotics

Robot type
Warehouse and Logistics
Location
SunnyvaleCaliforniaUSA
Job type
Artificial Intelligence
Posted
Jul 9, 2026
Full-time

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

Job description

We are looking for an Applied Scientist to join the Robotics Simulation team at Amazon Robotics. In this role you will design, build, and validate the simulation environments and policy training pipelines that enable robots to learn manipulation and mobility skills in simulation and transfer them to real hardware.

You will work at the intersection of robotics simulation science and modern Physical AI: building GPU-accelerated RL environments, implementing imitation learning workflows, characterizing sim-to-real gaps, tuning physics parameters against real-world data, and evaluating learned policies both in simulation and on physical robots.

This is a hands-on, execution-focused role.

Job requirements

  • PhD, or Master's degree
  • Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT
  • Experience in robotics design, automation systems development, control systems design, or related product development
  • 2+ years of experience working with physics simulation platforms for robot learning (MuJoCo, Isaac Sim/Lab, PyBullet, Drake, or equivalent).
  • Demonstrated experience training robot policies using reinforcement learning or imitation learning and evaluating them in simulation.
  • Experience with articulated robot simulation, including URDF/MJCF/USD formats and rigid/soft body dynamics.
  • Familiarity with sim-to-real transfer concepts (domain randomization, system identification, or physics calibration).
  • Hands-on experience deploying learned policies on real robot hardware (manipulation arms, mobile platforms, or mobile manipulators).
Apply on Amazon Robotics websiteSave

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