Senior Systems Dev Engineer – AI/ML Fleet Automation

Amazon Inc.; Austin (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Amazon Inc. in Austin is seeking a Systems Development Engineer to build automation software, diagnostics, and fleet health infrastructure for AWS's AI/ML accelerator platforms.

You will own end-to-end systems across hardware, firmware, kernel, and software, collaborating across teams to design scalable, reliable tooling that prevents failures at fleet scale. You will work across PCIe topology, GPU diagnostics, Linux drivers, and telemetry pipelines, driving impact by reducing downtime and

Qualifications

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

Responsibilities

• Build automation software and diagnostic tooling for AI/ML accelerated compute fleet.
• Own end-to-end systems spanning hardware, firmware, kernel, and software.
• Develop telemetry pipelines, PCIe/GPU diagnostics, and fleet health tooling.
• Create monitoring dashboards and fleet health metrics.
• Collaborate with hardware, software, and operations teams.

Skills

Software development

Distributed systems design

Linux

C/C++

Education

Bachelor's degree in CS/CE/EE

Master’s degree or above

Tools

CUDA

Linux

Job description

Amazon Inc. in Austin is seeking a Systems Development Engineer to build automation software, diagnostics, and fleet health infrastructure for AWS's AI/ML accelerator platforms.

You will own end-to-end systems across hardware, firmware, kernel, and software, collaborating across teams to design scalable, reliable tooling that prevents failures at fleet scale. You will work across PCIe topology, GPU diagnostics, Linux drivers, and telemetry pipelines, driving impact by reducing downtime and