Software Development Engineer – Simulation Infrastructure & Platform, Amazon Industrial Robotics

Amazon • North Reading, MA

5h

About The Position

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.

Requirements

• 3+ years of non-internship professional software development experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• 3+ years of industry experience building and operating production software systems
• Demonstrated 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 workflows

Nice To Haves

• 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

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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level