Senior Systems Automation Engineer - AI/ML GPU Fleet

Amazon Inc.; Seattle (WA); On-site; USD 150,000 - 210,000; Full time

Job summary

Amazon is hiring a Systems Development Engineer to build automation software, diagnostic tooling, and fleet health infrastructure for AWS accelerated compute platforms. You will own end‑to‑end systems spanning hardware, firmware, kernel, and software, delivering self‑healing capabilities at cloud scale.

You will tackle hardware‑software integration challenges, develop scalable test automation, and push for proactive failure detection across the fleet.

Qualifications

• 6+ years of non‑internship software development experience.
• 6+ years designing or architecting scalable systems.
• 6+ years programming in C++, C#, Java, Python, Golang, PowerShell, or Ruby.
• 5+ years deploying and operating in a Linux/Unix environment.
• 6+ years of systems design, software development, automation, and process improvement.
• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent work experience.

Responsibilities

• Build and own automation infrastructure for accelerator fleet health at scale.
• Design and develop test frameworks, coverage strategies, and diagnostic tooling.
• Design predictive failure detection using telemetry, sensor data, and logs.
• Develop monitoring dashboards and alerting for fleet health visibility.
• Define and track fleet health metrics such as failure rates and mean time to detect.

Skills

C++

Python

Linux

Automation

Diagnostics

GPU

Kernel

Telemetry

Education

Bachelor's degree in Computer Science/Engineering

Tools

CUDA

Job description

Amazon is hiring a Systems Development Engineer to build automation software, diagnostic tooling, and fleet health infrastructure for AWS accelerated compute platforms. You will own end‑to‑end systems spanning hardware, firmware, kernel, and software, delivering self‑healing capabilities at cloud scale.

You will tackle hardware‑software integration challenges, develop scalable test automation, and push for proactive failure detection across the fleet.