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 help build and operate the simulation platform supporting advanced robotics development at Amazon. This role focuses on designing and scaling high-performance, cloud-native infrastructure that enables distributed simulation workloads, learning pipelines, and automated validation systems. You will play a key role in transforming advanced simulation capabilities into reliable, maintainable, and scalable software systems that accelerate robotics innovation. Key job responsibilities - Design and operate the core simulation platform infrastructure supporting large-scale robotics development and learning workloads - Architect and scale cloud-native systems in AWS, including distributed job orchestration, resource management, and cost-efficient compute utilization - Own CI/CD pipelines, build systems, and automated testing infrastructure for complex C++ and Python codebases - Develop and maintain tooling to manage simulation environments, assets, and versioned artifacts across teams - Improve performance, reliability, and reproducibility through observability, profiling, and automated regression systems - Establish and enforce software engineering best practices, including modular architecture, code quality standards, and long-term maintainability - Partner with robotics and research teams to productionize advanced capabilities into robust, scalable software systems - Enable large-scale validation, benchmarking, and certification workflows through automated evaluation infrastructure 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 - Bachelor's degree or above in Computer Science, Computer Systems Engineering, Software Development, Mathematics, or a similar STEM (Science, Technology, Engineering, and Mathematics) field, or experience with programming languages such as Python, Java, C++ - Experience designing, building, operating, and managing large-scale distributed systems or web services - Master's degree in Computer Science, Computer Engineering, or Electrical Engineering, or experience with version control systems and CI/CD pipeline implementation - Experience developing maintainable, production-quality infrastructure supporting engineering, ML, or scientific computing workflows - Experience working with Advanced Compute technologies including, but not limited to: Accelerated Compute, High Performance Compute, Visual/Spatial Compute, and/or IoT. - Experience in software development, or experience in Kubernetes, Docker or containers ecosystem - Master’s degree in Computer Science, Robotics, or a related technical field - Experience building internal developer platforms or engineering productivity tooling - Experience improving and maintaining large C++ codebases - Experience supporting research-to-production or prototype-to-scale transitions - Exposure to robotics or simulation systems, including familiarity with common robotics formats and toolchains - Experience with modern simulation ecosystems (e.g., Isaac Lab, MuJoCo, Drake) - Experience developing or supporting scalable evaluation, benchmarking, or training workflows - Contributions to open-source robotics, simulation, or infrastructure 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
Design and operate the core simulation platform infrastructure supporting large-scale robotics development and learning workloads
Architect and scale cloud-native systems in AWS, including distributed job orchestration, resource management, and cost-efficient compute utilization
Own CI/CD pipelines, build systems, and automated testing infrastructure for complex C++ and Python codebases
Develop and maintain tooling to manage simulation environments, assets, and versioned artifacts across teams
Improve performance, reliability, and reproducibility through observability, profiling, and automated regression systems
Establish and enforce software engineering best practices, including modular architecture, code quality standards, and long-term maintainability
Partner with robotics and research teams to productionize advanced capabilities into robust, scalable software systems
Enable large-scale validation, benchmarking, and certification workflows through automated evaluation infrastructure
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
Experience designing, building, operating, and managing large-scale distributed systems or web services
Master's degree in Computer Science, Computer Engineering, or Electrical Engineering, or experience with version control systems and CI/CD pipeline implementation
Experience developing maintainable, production-quality infrastructure supporting engineering, ML, or scientific computing workflows
Experience working with Advanced Compute technologies including, but not limited to: Accelerated Compute, High Performance Compute, Visual/Spatial Compute, and/or IoT.
Experience in software development, or experience in Kubernetes, Docker or containers ecosystem
Master’s degree in Computer Science, Robotics, or a related technical field
Experience building internal developer platforms or engineering productivity tooling
Experience improving and maintaining large C++ codebases
Experience supporting research-to-production or prototype-to-scale transitions
Exposure to robotics or simulation systems, including familiarity with common robotics formats and toolchains

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aiawsci/cdpythonjavamlkubernetesdocker

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave