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Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators

Amazon· Systems, Quality, & Security Engineering
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Hybrid (USA, CA, Cupertino), Hybrid (USA, WA, Seattle), Hybrid (USA, TX, Austin)$129.2k - $201.2kFull-timePosted 1w ago

About the role

AWS runs the world's largest fleet of AI/ML accelerator servers. This role builds automation, diagnostics, and fleet health infrastructure for accelerated compute platforms, spanning hardware, firmware, kernel, and software to prevent failures and enable self-healing at fleet scale.

Responsibilities

  • Fleet Health & Predictive Infrastructure: 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
  • Debugging & Troubleshooting: 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
  • Systems Development & Automation: Design scalable test automation for hardware bring-up, regression, and qualification; build data pipelines correlating test results, sensor telemetry, and component-level data
  • 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
  • Cross-Team Collaboration: 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
  • Operational Excellence: 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: You start the day reviewing overnight validation run results, triaging GPU errors, push a fix to diagnostic automation, join hardware bring-up calls with ODM partners, review telemetry improvements, and update yield dashboards.
  • About the team: The Hardware Engineering AI/ML UltraServer platform team launches GPU-accelerated servers into the AWS fleet, located in Seattle, Austin, and Cupertino, collaborating with global teams and ODM partners.

Qualifications

  • 2+ years of non-internship professional software development experience
  • 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
  • 7+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
  • Knowledge of systems engineering fundamentals (networking, storage, operating systems)
  • Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby

Skills

Required:Automation infrastructureTest framework designTelemetry and data analyticsLinux device drivers (ARM/x86)Root cause analysis

Benefits

  • 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)
  • 401(k) matching
  • Paid time off
  • Parental leave
Last updated Oct 25, 2026. Interested? Apply on the company site.

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