Senior Systems Dev Engineer — AI/ML Fleet Health

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

Job summary

Amazon Web Services, Inc. in Seattle is seeking an engineer to own end-to-end systems for the AI/ML accelerator fleet, building automation that prevents failures and scales across GPU, Linux, and firmware layers.

You will tackle hardware bring-up, diagnostics, and telemetry pipelines, partnering with ODMs and datacenter teams to improve reliability and performance at fleet scale. This role blends software and hardware, offering influence on architecture and opportunities to ship impactful

Qualifications

• 6+ years of professional software development experience.
• 6+ years programming in modern languages (C++, C#, Java, Python, Go, PowerShell, Ruby).
• 6+ years designing or architecting scalable systems.
• 5+ years deploying and operating Linux/Unix environments.
• 6+ years of systems design, automation, and process improvements.
• Bachelor's degree in CS/CE/EE or equivalent work experience.

Responsibilities

• Build and own end-to-end automation for fleet health at large scale.
• Design diagnostic tooling and test frameworks for hardware functionality.
• Develop monitoring dashboards and real-time fleet health metrics.
• Debug complex system-level issues across compute, GPU, and networking.
• Collaborate with ODMs and partners during hardware bring-up and validation.
• Maintain Linux device drivers for ARM and x86 and CI/CD pipelines.

Skills

C++

C#

Java

Python

Golang

PowerShell

Ruby

Linux/Unix

System design

Software development

Education

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

Tools

BMC/IPMI

PCIe topology

GPU/accelerator software stacks

Job description

Amazon Web Services, Inc. in Seattle is seeking an engineer to own end-to-end systems for the AI/ML accelerator fleet, building automation that prevents failures and scales across GPU, Linux, and firmware layers.

You will tackle hardware bring-up, diagnostics, and telemetry pipelines, partnering with ODMs and datacenter teams to improve reliability and performance at fleet scale. This role blends software and hardware, offering influence on architecture and opportunities to ship impactful