Senior System Development Engineer, ECNitro

Job  | Amazon Development Center U.S., Inc.

Join the EC2 Machine Learning Systems team at Amazon Web Services (AWS) as a System Development Engineer III and lead the development of operational visibility and tooling for EC2 supercomputer instance families. In this role, you'll leverage your specialized knowledge of distributed systems to improve system automation and operational tooling between infrastructure hosting EC2 instances and back-end control plane infrastructure.

This position offers a unique opportunity to work at the intersection of high-performance computing and machine learning infrastructure. You'll apply operations best practices at scale while developing tools and systems that enhance visibility, maintenance, and operations of customer-facing supercomputer instance types. Your work will directly impact how AWS customers leverage compute resources for their most demanding machine learning workloads.

• Design and implement robust operational visibility solutions and tooling for EC2 supercomputer instance families, focusing on system reliability, performance optimization, and scalability across complex infrastructure.
• Lead projects that require collaboration across multiple engineering teams to improve maintenance practices and operational efficiency for customer-facing supercomputer instance types.
• Develop technical solutions for complex problems involving Nitro systems, considering multiple risks and roadblocks while keeping solutions as simple as possible.
• Build and maintain high-quality systems by adopting best practices, owning operational metrics, and understanding the long‑term impact on customer experience.
• Balance speed of delivery with foundation for the future, identifying critical technical decisions and advocating for the right solutions that prioritize long‑term software quality and maintainability.

About the team

The EC2 Nitro Machine Learning Systems team is responsible for development, operations, and maintenance of scale‑out machine learning platforms used for training and inference workloads. We build and optimize the infrastructure that powers some of the most computationally intensive AI/ML workloads in the cloud. Our team is passionate about creating reliable, high-performance systems that enable customers to push the boundaries of what's possible with machine learning.

Working with us means having the opportunity to influence the future of supercomputing in the cloud while solving complex technical challenges at massive scale. We collaborate closely with customers and internal teams to continuously improve our platforms and deliver innovations that accelerate machine learning workflows.

• 3+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, Power Shell, or Ruby.
• 4+ years of non-internship professional software development experience.
• 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems.
• 4+ years of systems development in an IT or data center environment.
• 4+ years of deploying and operating in a Linux/Unix environment.
• 2+ years of systems design, software development, operations, automation, and process improvement experience.
• Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production.

• 1+ years of development/programming/scripting experience (Python/Java/Bash/Perl).
• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations.
• Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 optional 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 (Use the "Apply for this Job" box below)..

USA, WA, Seattle -  -  USD annually