Senior SDE - Simulation Infrastructure & Platform, Industrial Robotics Group
Amazon
Seattle, WA (In Person)
Full-Time
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Job 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.
Basic Qualifications
- 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
- Programming skills in C++ and Python, with solid foundations in data structures, algorithms, and software design
- Experience designing and operating scalable, distributed, or cloud-based systems
- Experience building and maintaining CI/CD pipelines, automated testing frameworks, and modern build systems
- Experience developing maintainable, production-quality infrastructure supporting engineering, ML, or scientific computing workflowsPreferred Qualifications
- Master's degree in Computer Science, Robotics, or a related technical field
- Experience building internal developer platforms or engineering productivity tooling
- Experience operating GPU-accelerated or large-scale compute workloads in cloud environments
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
- 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.
- 168,100.00
- 227,400.
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