Job description

Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon’s scale. We’re building revolutionary robotic systems that combine innovative AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what’s possible in robotic dexterous manipulation, locomotion, and human-robot interaction. We are seeking a Senior Software Development Engineer to own the core simulation runtime and physics-engine integration at the heart of our advanced robotics development. This role focuses on building high-performance, production-grade simulation software — integrating and extending modern physics engines, optimizing contact-rich dynamics for speed and fidelity, and turning simulation research into robust, reusable capabilities. You will be the engineering owner of how our simulators actually run, working shoulder-to-shoulder with applied scientists to close the simulation-to-reality gap at scale. Key job responsibilities - Own the core simulation runtime: integrate, extend, and optimize modern physics engines (e.g., Isaac Lab, MuJoCo, Drake, Newton) for production use - 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 amazon.jobs 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 amazon.jobs . USA, MA, N.Reading - 168,100.00 - 227,400.00 USD annually

Requirements

Must-haves

Key job responsibilities
Own the core simulation runtime: integrate, extend, and optimize modern physics engines (e.g., Isaac Lab, MuJoCo, Drake, Newton) for production use
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
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.

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Keywords to mirror

aipython

Platform: amazon
Effort: medium

Benefits

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Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave