Software Development Engineer, ML Infrastructure Team

Amazon • Cupertino, CA

3d • $143,700 - $223,600 • Onsite

About The Position

Want to help drive the success of Machine Learning technologies at AWS? We seek a Software Development Engineer II for the ML Infrastructure team to build the platforms that guarantee top performance of AWS ML and HPC technologies. Our performance data directly influences launch decisions for new EC2 instance types and has visibility at senior leadership. Join us as we expand the AWS offerings for AI, including Trainium, Neuron and the Elastic Fabric Adapter (EFA). You'll build CI/CD systems, orchestrate GPU clusters, create performance dashboards, and develop AI-powered automation - all to ensure latest ML networking software ships with confidence.

Requirements

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language
• Experience working with Linux
• Experience coding in Python

Nice To Haves

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent
• Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS
• Experience with TypeScript and AWS CDK for infrastructure as code

Responsibilities

• Build and maintain infrastructure that monitors and reports on functionality and performance of massive testing workloads run at scale across multiple GPU instance types.
• Use Jenkins, internal Amazon CI/CD tools, Linux, and public AWS products to automate testing and delivery of ML networking libraries - including collective communication frameworks, network transport layers, and GPU communication libraries.
• Write Python code that orchestrates large clusters, runs benchmarks and ML applications across a matrix of instance types, operating systems, and software stack versions.
• Use AWS Managed Grafana and Athena to digest performance data and build dashboards that catch functional and performance regressions before they reach customers.
• Build automation using LLMs to analyze test failures and surface actionable insights to developers.
• Contribute to cross-team readiness for new instance type launches by delivering performance data that shapes go/no-go decisions.
• Manage the complexity of infrastructure covering many instance types, software stacks, Linux operating systems, and latest releases and make it easy to evolve.
• Write Python to orchestrate test workloads across large GPU clusters and TypeScript with CDK to ensure all infrastructure is code, reviewed and committed to automated pipelines.
• Manage shared development clusters using SLURM and AWS ParallelCluster, supporting multiple teams while keeping costs down.
• Build automation that analyzes nightly test results and surfaces regressions to developers.
• Write crisp designs for your projects, communicating clearly to your peers what you will build and why.

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
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

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