Engineer high-performance solvers and pipelines for rigid and deformable body dynamics and contact-rich manipulation and locomotion
Partner with applied scientists to productionize novel simulation methods into robust, maintainable, reusable software
Optimize simulation performance across CPU/GPU, including profiling, parallelization, and GPU-accelerated compute
Build and maintain the interfaces, APIs, and model pipelines (e.g., URDF, SDF, USD) that connect simulation to the broader robotics stack
Develop systematic methods and tooling to measure and reduce the simulation-to-reality gap in collaboration with science and controls teams
Establish engineering best practices for the simulation codebase — modular architecture, performance-critical C++/Python, testing, and long-term maintainability
Support large-scale reinforcement learning and policy-training workloads with reliable, reproducible simulation behavior
About the team
Our team is building a comprehensive simulation platform for advanced robotics development, combining locomotion and manipulation capabilities. We operate at the forefront of physics simulation, reinforcement learning, and sim-to-real transfer, collaborating with world-class robotics engineers, applied scientists, and mechanical designers in a fast-paced, innovation-driven environment.
5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team
Master's degree or above in robotics, mechanical/mechatronics engineering, systems engineering or related field
Experience with modern physics engines or simulation ecosystems (e.g., Isaac Lab, MuJoCo, Drake, Newton)
Background in rigid-body or deformable-body dynamics, contact mechanics, computational geometry, or numerical methods
Experience with GPU-accelerated computing and high-performance parallel algorithms
Experience with robotics model formats and pipelines (e.g., URDF, SDF, USD)
Experience bridging simulation and real-world robotic systems (modeling, validation, deployment)
Experience supporting reinforcement learning or policy-training workflows in simulation
Experience supporting research-to-production or prototype-to-scale transitions
Contributions to open-source robotics, simulation, or physics projects
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, N.Reading - 168,100.00 - 227,400.00 USD annually
