Senior Systems Engineer, AI/ML Fleet Automation

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 151,000 - 205,000

Full time

14 days+

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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Web Services, Inc. in Seattle is seeking an experienced Systems Engineer to own end-to-end fault prevention across hardware, firmware, kernel, and software. You will build automation replacing manual toil and drive self-healing for AI/ML accelerator fleets at cloud scale.

The role spans PCIe topology, GPU diagnostics, Linux drivers, and telemetry pipelines with a focus on preventing customer-impacting failures and collaborating across ODMs, datacenter ops, and product teams.

Qualifications

  • 6+ years of systems design, software development, operations, automation, and process improvement experience.
  • 6+ years of non-internship professional software development experience.
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent work experience.
  • 5+ years of Linux/Unix operating systems experience.

Responsibilities

  • Build and own automation infrastructure for accelerator fleet health at scale.
  • Design test frameworks, coverage strategies, and diagnostic tooling.
  • Develop predictive failure detection using telemetry and logs.
  • Create monitoring dashboards and alerts for fleet health.
  • Define metrics like failure rates, MTTD, and first-time fix rate.
  • Debug complex system-level issues across compute, GPU, and networking in production.
  • Perform root cause analysis across firmware, kernel, and drivers.
  • Design scalable test automation for hardware bring-up and regression.
  • Build data pipelines to identify systemic yield issues and drive fixes.
  • Develop and maintain Linux device drivers on ARM and x86.

Skills

Systems design
Software development
Operations
Automation
Process improvement
Linux/Unix
C++
Python
C#
Java

Education

Bachelor's degree in CS/CE/EE
Master's degree or above

Tools

CUDA kernels
Linux device drivers
PCIe

Job description

Amazon Web Services, Inc. in Seattle is seeking an experienced Systems Engineer to own end-to-end fault prevention across hardware, firmware, kernel, and software. You will build automation replacing manual toil and drive self-healing for AI/ML accelerator fleets at cloud scale.

The role spans PCIe topology, GPU diagnostics, Linux drivers, and telemetry pipelines with a focus on preventing customer-impacting failures and collaborating across ODMs, datacenter ops, and product teams.

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