The Robotics Simulation team is a multidisciplinary organization of SDEs, Applied Scientists, and Technical Artists at Amazon Robotics. We build the simulation infrastructure that powers Physical AI development, from photorealistic synthetic data to GPU-accelerated training environments. Our simulation stack enables robots to be designed, trained, and validated entirely in simulation before physical hardware exists, compressing development timelines and de-risking robotics programs across Amazon.
The team delivers end-to-end simulation stacks for Amazon's robotics programs, including high-fidelity robot digital twins, teleoperation data collection infrastructure, scalable synthetic demonstration generation, policy training and inference pipelines (RL, imitation learning, VLAs), domain randomization for sim-to-real transfer, and model validation in simulation. We partner closely with hardware teams, science organizations, and robotics program leads across Amazon Robotics.
- 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).
- 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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.
These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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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, CA, Sunnyvale – 171,600.00 - 222,200.00 USD annually
USA, MA, Westboro – 142,800.00 - 193,200.00 USD annually