Software Development Engineer 2 - Regression Infrastructure, Trainium Manufacturing Infrastructure

Description

Our Annapurna Labs team at Amazon is looking for a Software Development Engineer to own the regression infrastructure that every manufacturing software release depends on. Before new test software reaches a production line, it is validated on real hardware, both in our lab and at our manufacturing sites. You will own those regression systems end to end: the hardware they run on, and the software that keeps them configured, connected and healthy at all times. You'll build the automation that detects problems and repairs systems without manual work, so regression is always ready to gate a release. This is a software role at the intersection of cloud infrastructure, hardware and networking.

AWS Trainium is at the center of the AI infrastructure race, and our mission is "Silicon never waits." This is a new, high-visibility area with no existing owner, so you'll have wide room to define the architecture, choose the approach and grow the scope as we scale to more sites and new platforms.

Key job responsibilities
- Own the regression infrastructure in our lab and at manufacturing sites, and extend it to every site
- Build software (Python, Go, TypeScript, Java or C++) that configures, monitors and maintains the servers, firmware and network devices regression depends on
- Automate repair: detect failures, recover systems through software, escalate only when hands-on work is needed
- Keep software and firmware versions consistent across lab, manufacturing and fleet environments
- Feed infrastructure health into release pipelines so releases reflect real hardware state
- Partner with hardware, firmware, network and test teams to set standards and clear ownership
- Write runbooks, join on-call, and lead root-cause reviews



A day in the life
You might start by reviewing overnight health reports for the regression systems and checking that every system is configured, connected and ready. Then you could dig into a recurring failure, write the automation that detects and repairs it, and add a health check so that release pipelines see the result. In the afternoon you might review a teammate's design, join a call with hardware or network engineers to agree on a recovery approach, or plan the next site rollout. Your work keeps releases moving, so every hour you save is an hour sooner that new hardware reaches customers.

About the team
Manufacturing Automation & Deployment, part of Annapurna ML, builds and runs the software platform that tests and validates AWS Trainium hardware at manufacturing sites worldwide. We deliver test software to active production lines with the release discipline of a cloud service: staged rollouts, regression gates, automated alarming and fast rollback. Our work directly enables the manufacturing ramp of AWS's custom AI chips.

Machine Learning Accelerators (MLA) is building AI-native racks faster than anyone in the industry, from custom silicon to full rack assembly, and every engineer who joins has room to make a real impact on it.

Basic Qualifications

- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of software development, or 3+ years of non-internship professional software development experience
- BS in Computer Science, Computer Engineering or equivalent
- Proficiency in at least one of: Python, Go, TypeScript, Java or C++
- Experience with Linux systems and networking fundamentals

Preferred Qualifications

- Experience automating server and network device management, including firmware updates and out-of-band management
- Experience building monitoring, alarming and automated remediation for hardware infrastructure
- Experience operating systems across multiple sites, including edge or on-premises environments
- Experience with AWS, infrastructure as code (CDK, CloudFormation or Terraform) and CI/CD pipelines
- Familiarity with hardware test automation, hardware validation or manufacturing systems

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.