Senior Systems Automation Engineer - AI/ML UltraServers

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 151,000 - 205,000

Full time

47 hours ago
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Job summary

Amazon Data Services, Inc. in Seattle seeks a Systems Development Engineer to build automation software, diagnostic tooling, and fleet health infrastructure for its accelerated compute platforms.

You will own end-to-end systems, writing code that prevents failures and builds intelligent self‑healing capabilities across PCIe topology, GPU diagnostics, Linux drivers, and telemetry pipelines. You will work across hardware, firmware, kernel, and software, driving alignment with multiple teams and

Qualifications

  • 6+ years of programming experience with at least one modern language (e.g., C++, Java, Python, Go)
  • 6+ years of non‑internship professional software development experience
  • 6+ years of systems design, architecture, and reliability
  • 5+ years deploying and operating in a Linux/Unix environment
  • Bachelor's degree in CS/CE/EE or equivalent work experience

Responsibilities

  • Build automation infrastructure for accelerator fleet health at scale, aiming for zero‑touch operations
  • Design and develop test frameworks, coverage strategies, and diagnostic tooling
  • Develop telemetry pipelines and prediction models to detect degrading components
  • Create monitoring dashboards and alerts for fleet health across environments
  • Collaborate with hardware, firmware, kernel, and software teams to improve reliability
  • Produce clear documentation and drive process improvements to accelerate delivery

Education

Bachelor's degree in Computer Science / Computer Engineering / Electrical Engineering

Job description

Amazon Data Services, Inc. in Seattle seeks a Systems Development Engineer to build automation software, diagnostic tooling, and fleet health infrastructure for its accelerated compute platforms.

You will own end-to-end systems, writing code that prevents failures and builds intelligent self‑healing capabilities across PCIe topology, GPU diagnostics, Linux drivers, and telemetry pipelines. You will work across hardware, firmware, kernel, and software, driving alignment with multiple teams and

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