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.
- BS degree in computer science or equivalent
- Experience with at least one general-purpose programming language such as
Java,
Python,
C++,
C#,
Go,
Rust, or
TypeScript- Experience with CI/CD pipeline design and implementation (
AWS Pipelines, CircleCI, GitLab CI, GitHub Actions, Jenkins, or similar)
- Experience with cloud services (
AWS,
GCP, or
Azure) — particularly IaC tools such as CDK, CloudFormation, Terraform, or Pulumi
- Experience deploying software to edge/hybrid environments (
AWS Outposts, on-premises)
- Experience with containerized microservice architectures (Docker, ECS/EKS, Kubernetes)
- Familiarity with hardware test automation or manufacturing systems
- Experience with setting up CI/CD for system software
- Familiarity with network configuration in constrained environments (VPN, CIDR management, site connectivity)
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 - 127,100.00 - 185,000.00 USD annually