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Sr Systems Development Engineer, AWS AI/ML Servers

Amazon· Systems, Quality, & Security Engineering
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Cupertino, CA, Seattle, WA, Austin, TX$173.9k - $235.2k + equityFull-timePosted 1mo ago

About the role

Automation software, diagnostic tooling, and fleet health infrastructure for AWS AI/ML accelerator servers. Build end-to-end, scalable systems to prevent failures across hardware, firmware, kernel, and software for large-scale accelerated compute fleets.

Responsibilities

  • Build and own the automation infrastructure for accelerator (AI/ML) fleet health at a large scale of servers, driving toward zero-touch operations that detect, diagnose, triage, and remediate faults without human intervention
  • Design and develop test frameworks, test coverage strategies, and diagnostic tooling to validate hardware functionality, detect faults, and ensure qualification coverage across the platform lifecycle
  • Design predictive failure detection using telemetry, sensor data, error trending, and log correlation to identify degrading components before customer impact
  • Develop monitoring dashboards and alerting for real-time fleet health visibility across manufacturing, lab, and production environments
  • Define and track fleet health metrics: failure rates, mean time to detect and resolve issues, first-time fix rate, test dwell time, and predictive accuracy
  • Debug complex system-level issues across compute, GPU, and networking in production — including Linux boot/runtime failures, PCIe, power, NIC, NVMe, and GPU subsystems on x86 and ARM
  • Perform root cause analysis correlating across firmware, kernel, driver, and physical layer; feed findings into manufacturing quality and design improvements
  • Design scalable test automation for hardware bring-up, regression, and qualification — reducing manufacturing test cycle times without sacrificing coverage through intelligent test sequencing and parallel execution
  • Build data pipelines correlating test results, sensor telemetry, and component-level data to identify systemic yield issues and drive upstream fixes
  • Develop and maintain Linux device drivers on ARM and x86; work with OS internals and accelerator/GPU software stacks
  • Build and manage tests covering all functional aspects of the system and CI/CD pipelines for rapid deployment to manufacturing lines and production fleet
  • Work across engineering teams and internal customers to ensure new accelerated compute hardware meets data path, control path, and onboarding requirements
  • Engage with ODMs and design partners on testability, diagnostic coverage, and automation requirements during hardware design and bring-up phases
  • Partner with datacenter operations to close the loop between field failures, manufacturing escapes, and design improvements
  • Participate in post-incident reviews, identify contributing causes and drive permanent fixes that eliminate whole classes of risk
  • Produce clear, maintainable documentation for systems, runbooks, and automation to enable others to operate and extend your work
  • Drive process improvements that increase team agility — reducing development friction, eliminating unnecessary gates, and improving delivery velocity
  • May require occasional (<10%) regional and international travel to Design and Manufacturing Partner sites.
  • A day in the life description provided in the job listing.
  • The Hardware Engineering AI/ML UltraServer platform team located in Seattle, Austin, and Cupertino

Qualifications

  • 6+ years of systems design, software development, operations, automation, and process improvement experience
  • 6+ years of non-internship professional software development experience
  • 6+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
  • 6+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent work experience
  • 5+ years of Linux/Unix operating systems experience

Skills

Required:Automation infrastructureTelemetry and diagnosticsLinux device driversSystem debuggingCross-team collaboration

Benefits

  • Health insurance (medical, dental, vision, prescription) and Life & AD&D insurance; option for Supplemental life plans; EAP; Mental Health Support; Flexible Spending Accounts; Adoption and Surrogacy Reimbursement coverage
  • 401(k) matching
  • Paid time off and parental leave
  • RSUs and sign-on payments as part of compensation package
Last updated Oct 25, 2026. Interested? Apply on the company site.

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