Software Development Engineer - Robotics Simulation, Amazon Robotics R&D

We are looking for a Software Development Engineer to join the Robotics Simulation team at Amazon Robotics. This role sits at the intersection of robotics simulation, physics-based modeling, reinforcement learning infrastructure, and synthetic data generation. You will build the simulation environments, embodiment models, training pipelines, and platform infrastructure that enable Physical AI development for Amazon Robotics programs., * Design and implement GPU-accelerated reinforcement learning environments using NVIDIA simulation tools, targeting thousands of parallel instances for policy training.

• Build simulation scenes with domain randomization (geometry, mass, friction, lighting, camera placement) to improve sim-to-real transfer.
• Develop physics-based embodiment models and tune simulation parameters to match real-world robot behavior.
• Build distributed RL training infrastructure and data pipelines supporting large-scale policy training across GPU clusters.
• Create config-driven workflows and scripted baselines that allow scientists to use simulation environments without code changes.
• Contribute to the team’s synthetic data generation platform and build self-service workflows for downstream ML teams.
• Maintain and upgrade simulation platform dependencies (NVIDIA tools, ROS2, Docker, Python/Ubuntu).

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, * 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Master’s or PhD in Robotics, Computer Science, or a related field.
• Hands-on experience with NVIDIA simulation and synthetic data tools.
• Experience building reinforcement learning training environments with domain randomization for sim-to-real transfer.
• Experience modeling contact dynamics for grippers, suction systems, or tendon-driven mechanisms.
• Familiarity with ROS2 and robotics middleware for teleoperation, motion planning, or sensor integration.
• Experience with distributed training infrastructure and scaling parallel simulation environments on GPU clusters.
• Experience with AWS services (Batch, S3, ECR, CDK) for cloud-based rendering or training pipelines.
• Experience with GPU-accelerated computing (CUDA, NVIDIA Warp, or similar).
• Contributions to open-source robotics or simulation projects.

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan, 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 - 143,700.00 - 194,400.00 USD annually

USA, MA, Westboro - 143,700.00 - 194,400.00 USD annually

The team delivers end-to-end simulation stacks for robot learning programs, including high-fidelity digital twins of robotic arms and grippers, GPU-accelerated RL training environments using NVIDIA simulation tools, physics tuning and sim-to-real transfer pipelines, and scalable synthetic data generation. Your work will directly impact how robots learn to manipulate objects in Amazon fulfillment centers., The Robotics Simulation team is a multidisciplinary group 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 RL training environments. Our work directly enables robots to learn manipulation skills in simulation before deploying to real fulfillment centers.

We partner closely with science teams, hardware engineers, and robotics program leads across Amazon Robotics. The team values ownership, technical depth, pragmatic engineering, and a bias for shipping. We work with simulation technologies from NVIDIA and contribute back to the broader robotics simulation community.