Software Development Engineer

Amazon Industrial Robotics 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 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