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

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 Basic qualifications: - 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). Preferred: - Hands-on experience deploying learned policies on real robot hardware (manipulation arms, mobile platforms, or mobile manipulators). - Experience with NVIDIA Isaac Lab/Sim, Omniverse, or USD-based simulation workflows. - Experience with modern Physical AI architectures: vision-language-action models, diffusion-based policy learning, action-chunking transformers, or behavior cloning from demonstrations. - Familiarity with teleoperation systems and demonstration data collection pipelines (haptic devices, recording in HDF5/zarr, or similar). - Experience with contact dynamics modeling and parameter tuning for grippers, suction systems, or other end-effectors. - Familiarity with ROS2 and robotics middleware for integration with robot software stacks. - Experience with GPU-accelerated parallel simulation (running thousands of environments concurrently for RL training). - Experience with trajectory optimization or motion planning (MoveIt, OMPL, or equivalent) in the context of generating training data. - Publications at robotics or ML venues (CoRL, ICRA, IROS, RSS, NeurIPS, ICML) are a plus but not required. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MA, Boston - 142,800.00 - 193,200.00 USD annually USA, MA, Westboro - 142,800.00 - 193,200.00 USD annually