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# Senior SDE, Simulation Infrastructure & Platform

- **Company:** Amazon.com, Inc.
- **Location:** North Reading, MA, United States
- **Experience:** Expert
- **Salary:** $168,100.0 - $227,400.0
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), Amazon Web Services, Automation of Tests, C++ (Programming Language), Cloud Computing, Software Quality, Computer Programming, Computer Engineering, Continuous Integration, Software Design Patterns, Distributed Systems, Python (Programming Language), Open Source Technology, Scientific Computating, Software Construction, Software Engineering, Toolchain, Web Services, Reinforcement Learning, High Performance Computing, Transfer Learning, Kubernetes, Information Technology, Build Tools, Codebase, Software Version Control, Docker, Programming Languages
- **Published:** October 1, 2026
- **Apply:** https://dejobs.org/x/x/C1D5F8961A8A4DA8806B4C45780AE6A0/job/

## About the Role

* 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

## Description

* 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.