Fleet Health Automation Engineer – AI/ML Systems

Amazon Web Services (AWS); Seattle (WA); On-site; USD 129,000 - 175,000; Full time

Job summary

Amazon Development Center U.S., Inc. in Seattle is seeking engineers to own end‑to‑end systems for fleet health and predictive infrastructure across accelerator servers.

You will build automation, telemetry pipelines, and diagnostic tooling to prevent failures and reduce downtime in large GPU/AI deployments. You will work across firmware, kernel, and software layers, developing scalable test automation and Linux device drivers, while collaborating with ODMs and datacenter teams to improve

Qualifications

• 2+ years of non‑internship software development experience.
• 2+ years designing or architecting reliable, scalable systems.
• 2+ years of Linux OS, networking, or storage experience.
• Experience in production-grade software deployments.
• Bachelor's degree in CS/CE/EE or equivalent work experience.

Responsibilities

• Build and own scalable automation for accelerator fleet health at cloud scale.
• Design and develop test frameworks, coverage strategies, and diagnostic tooling to validate hardware functionality.
• Design predictive failure detection using telemetry, sensor data, error trending, and log correlation.
• Develop monitoring dashboards and alerting for fleet health visibility across environments.
• Collaborate with hardware, software, and operations teams to ensure data path, control path, and onboarding requirements.

Skills

C/C++

Linux

Kernel driver

OS internals

Python

Education

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

Job description

Amazon Development Center U.S., Inc. in Seattle is seeking engineers to own end‑to‑end systems for fleet health and predictive infrastructure across accelerator servers.

You will build automation, telemetry pipelines, and diagnostic tooling to prevent failures and reduce downtime in large GPU/AI deployments. You will work across firmware, kernel, and software layers, developing scalable test automation and Linux device drivers, while collaborating with ODMs and datacenter teams to improve