Description

The Manufacturing Infrastructure Release Team within Annapurna ML builds and operates the software platform that orchestrates hardware testing and validation across multiple Trainium manufacturing sites worldwide. Our platform deploys containerized microservices to AWS Outposts at manufacturing partner factories — enabling component-level testing, card/board
validation, server-level testing, and rack-level testing at scale. We directly enable the manufacturing ramp of AWS's custom AI training chips.

We are looking for a Software Development Engineer to own and evolve the CI/CD infrastructure that delivers software to Trainium manufacturing sites worldwide. You will build and maintain deployment pipelines that push tested, validated code to production Outpost environments across multiple manufacturing partners. Your work directly impacts how fast Trainium servers move from factory floor to customer — every hour of pipeline latency is lost customer revenue.

Key job responsibilities
- Design, build, and maintain CI/CD pipelines (AWS CDK, Pipelines) that deploy containerized services to AWS Outposts at global manufacturing sites

- Extend the manufacturing infrastructure platform (TypeScript CDK, Python microservices) to support new workflows for Trainium accelerator cards, baseboards, and rack-level integration

- Build integration test frameworks and canary systems that validate service health across all production sites before and after deployments

- Develop automated alarming, rollback mechanisms, and deployment wave strategies to ensure zero-downtime releases to active manufacturing lines

- Develop infrastructure-as-code for containerized services, databases, artifact storage, messaging queues, and authentication systems deployed on Outposts

- Collaborate with Test Engineering teams, Hardware Engineers, and Supply Chain to resolve bottlenecks in the manufacturing process

About the team
Annapurna Labs is a wholly owned subsidiary of AWS, focused on developing custom silicon and servers including the Nitro, Graviton, Inferentia, and Trainium families of processors.
Machine Learning Annapurna (MLA) functions as a vertically integrated team including software, firmware, hardware, and silicon design in a single organization.
We are the Training Servers and Systems organization under MLA focused on Hardware Development, Software Development, Fleet Ops Systems, and Manufacturing, Quality, and Reliability.
This position is in the Manufacturing, Quality and Reliability team.