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.
Key job 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.
A day in the life
You 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. You manage shared development clusters using SLURM and
AWS ParallelCluster, supporting multiple teams while keeping costs down. You build automation that analyzes nightly test results and surfaces regressions to developers. You write crisp designs for your projects, communicating clearly to your peers what you will build and why.
About the team
We are part of Annapurna Labs, a subsidiary in
AWS that builds software and hardware that make ML on
EC2 work. Our organization is a dedicated group of innovators that have invented new networks, new silicon, new software suites, and combined those to entice customers to move immense ML and HPC workloads to the cloud. The ML Infrastructure team is laser focused on making
AWS the best and most cost-effective place for customers to do AI at scale. Our work directly enables the launch of new
GPU instance types.
- 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
- 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 working with Linux
- Experience with
AWS Services including
EC2,
Lambda,
S3,
DynamoDB,
SQS- Experience coding in
Python- Experience with
TypeScript and
AWS CDK for infrastructure as code
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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 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. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually