Fleet Automation Engineer – AI/ML Server Hardware

Amazon Web Services (AWS); Austin (TX); On-site; USD 151,000 - 205,000; Full time

Job summary

Amazon Web Services (AWS) seeks a Systems Development Engineer to build automation software, diagnostic tooling, and fleet health infrastructure for our accelerated compute platforms. You will own end-to-end systems across hardware, firmware, kernel, and software, writing code that prevents failures and builds intelligent self-healing.

You will work across PCIe topology, GPU diagnostics, Linux drivers, and telemetry pipelines to correlate signals and isolate faults at fleet scale, with impact

Qualifications

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

Responsibilities

• Build automation infrastructure for accelerator (AI/ML) 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 across environments.
• Collaborate with hardware, software, and operations teams to ensure reliability.

Skills

C++

Python

Linux

CUDA kernels

Software design

Education

Bachelor's in CS/CE/EE

Master's in CS/EE

Tools

CUDA

Job description

Amazon Web Services (AWS) seeks a Systems Development Engineer to build automation software, diagnostic tooling, and fleet health infrastructure for our accelerated compute platforms. You will own end-to-end systems across hardware, firmware, kernel, and software, writing code that prevents failures and builds intelligent self-healing.

You will work across PCIe topology, GPU diagnostics, Linux drivers, and telemetry pipelines to correlate signals and isolate faults at fleet scale, with impact