Amazon
Sr. Software Development Engineer, ML Infrastructure Team
Amazon, Seattle, Washington, us, 98127
Sr. Software Development Engineer, ML Infrastructure Team
Want to help drive the success of Machine Learning technologies at AWS? Do you have the skills and motivation to build automation that supports the success of peer teams? We want to talk to you!We seek a Sr. Software Development Engineer for the Machine Learning (ML) Infrastructure team to build the tools that are used to guarantee top performance of AWS ML and High Performance Computing (HPC) technologies developed by our organization. Bring your exceptional knowledge of CI/CD automation, ML and HPC benchmarks and applications to bear on the cutting-edge software we develop. Join us as we expand the AWS offerings for AI, including Trainium, Graviton and the Elastic Fabric Adapter (EFA).Key job responsibilities
Be the lead engineer on a team that builds and maintains the infrastructure that monitors and reports on functionality and performance of massive testing workloads run at scale.Use internal Amazon CI/CD tools, Linux, and public AWS products to automate the delivery of our software to customers, saving developer time.Write Python code that effortlessly spools up large clusters and runs benchmarks and applications for ML and HPC workloads.Use AWS Managed Grafana and Athena to digest the massive amount of performance data generated by these workloads and create dashboards for developers and stakeholders.Invent automatic mechanisms to alert developers to functional and performance regressions so they never reach customers.Manage the complexity of infrastructure that covers many instance types, software stacks, Linux operating systems, cutting-edge releases and make it easy to evolve.A day in the life
You use Typescript and the CDK to ensure all infrastructure setup is code (IoC), reviewed and committed to automated pipelines. You find innovative ways to schedule work using SLURM and Active Directory, supporting multiple teams of developers while keeping cluster costs down. You write excellent documents that communicate clearly to peers, stakeholders, and leadership what the team is doing and the plan for future work. You draw on your experience as a software developer to mentor other engineers.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.BASIC QUALIFICATIONS
5+ years of non-internship professional software development experience5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceExperience as a mentor, tech lead or leading an engineering team5+ years experience coding in Python, Typescript, CDKExperience developing highly automated CI/CD pipelines (Jenkins preferred)Proficiency working with Linux, ideally including ContainersExperience with Clustered ML or HPC Applications or Benchmarks, especially using SLURM or in AWSPREFERRED QUALIFICATIONS
Bachelor's degree in computer science or equivalentExperience creating automated dashboards and visualization (such as Grafana)Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Want to help drive the success of Machine Learning technologies at AWS? Do you have the skills and motivation to build automation that supports the success of peer teams? We want to talk to you!We seek a Sr. Software Development Engineer for the Machine Learning (ML) Infrastructure team to build the tools that are used to guarantee top performance of AWS ML and High Performance Computing (HPC) technologies developed by our organization. Bring your exceptional knowledge of CI/CD automation, ML and HPC benchmarks and applications to bear on the cutting-edge software we develop. Join us as we expand the AWS offerings for AI, including Trainium, Graviton and the Elastic Fabric Adapter (EFA).Key job responsibilities
Be the lead engineer on a team that builds and maintains the infrastructure that monitors and reports on functionality and performance of massive testing workloads run at scale.Use internal Amazon CI/CD tools, Linux, and public AWS products to automate the delivery of our software to customers, saving developer time.Write Python code that effortlessly spools up large clusters and runs benchmarks and applications for ML and HPC workloads.Use AWS Managed Grafana and Athena to digest the massive amount of performance data generated by these workloads and create dashboards for developers and stakeholders.Invent automatic mechanisms to alert developers to functional and performance regressions so they never reach customers.Manage the complexity of infrastructure that covers many instance types, software stacks, Linux operating systems, cutting-edge releases and make it easy to evolve.A day in the life
You use Typescript and the CDK to ensure all infrastructure setup is code (IoC), reviewed and committed to automated pipelines. You find innovative ways to schedule work using SLURM and Active Directory, supporting multiple teams of developers while keeping cluster costs down. You write excellent documents that communicate clearly to peers, stakeholders, and leadership what the team is doing and the plan for future work. You draw on your experience as a software developer to mentor other engineers.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.BASIC QUALIFICATIONS
5+ years of non-internship professional software development experience5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceExperience as a mentor, tech lead or leading an engineering team5+ years experience coding in Python, Typescript, CDKExperience developing highly automated CI/CD pipelines (Jenkins preferred)Proficiency working with Linux, ideally including ContainersExperience with Clustered ML or HPC Applications or Benchmarks, especially using SLURM or in AWSPREFERRED QUALIFICATIONS
Bachelor's degree in computer science or equivalentExperience creating automated dashboards and visualization (such as Grafana)Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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