Senior Systems Automation Engineer – AI/ML Fleet

Amazon; Seattle (WA); On-site; USD 151,000 - 205,000; Full time

Job summary

Amazon is seeking a Systems Development Engineer to build automation software, diagnostics, and fleet health infrastructure for its accelerated compute platforms. You will own end-to-end systems across hardware, firmware, kernel, and software, delivering self-healing automation at scale.

You will design predictive failure detection using telemetry and logs, develop test frameworks, and build monitoring dashboards to improve fleet reliability in AWS datacenters worldwide.

Qualifications

• 6+ years professional software development experience
• 6+ years programming in at least one modern language (C++, C#, Java, Python, etc.)
• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

Responsibilities

• Build automation infrastructure for AI/ML fleet health at scale
• Develop test frameworks and diagnostic tooling to validate hardware
• Design predictive failure detection using telemetry and logs
• Develop monitoring dashboards and alerts for fleet health

Skills

C++

Python

Linux/Unix

System design

Automation

Telemetry

Root cause analysis

Education

Bachelor's degree in Computer Science/Engineering

Master's degree or PhD (preferred)

Tools

Linux device drivers

PCIe topology

BMC/IPMI

GPU/accelerator hardware

Cloud/datacenter environments

Job description

Amazon is seeking a Systems Development Engineer to build automation software, diagnostics, and fleet health infrastructure for its accelerated compute platforms. You will own end-to-end systems across hardware, firmware, kernel, and software, delivering self-healing automation at scale.

You will design predictive failure detection using telemetry and logs, develop test frameworks, and build monitoring dashboards to improve fleet reliability in AWS datacenters worldwide.