AI Compute Fleet Engineer – GPU & Server Automation

Amazon Web Services (AWS); Cupertino (CA); On-site; USD 149,000 - 201,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Development Center U.S., Inc. in Cupertino is seeking a Systems Development Engineer to own the health and development of server platforms at worldwide fleet scale.

You will develop automation, analyze hardware telemetry across tens of thousands of hosts, and build tooling that directly determines whether capacity is available to customers. This role spans the full stack—from hardware monitoring interfaces, to health diagnostics up through fleet-wide data pipelines and dashboards—working

Qualifications

• 2+ years of non-internship professional software development experience.
• 1+ years of designing or architecting scalable systems.
• 3+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering.
• Knowledge of systems engineering fundamentals.
• Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby

Responsibilities

• Analyze hardware failure patterns using fleet telemetry and logs to identify root causes and quantify customer impact.
• Contribute to predictive failure detection using sensor data, error trending, and log correlation.
• Build and maintain operational dashboards and metrics for platform fleet health.
• Develop automation for hardware test, firmware qualification, and capacity recovery workflows.

Skills

Software development

System design

Systems engineering

Networking/storage/OS basics

Programming languages (C++, C#, Java,/

Job description

Amazon Development Center U.S., Inc. in Cupertino is seeking a Systems Development Engineer to own the health and development of server platforms at worldwide fleet scale.

You will develop automation, analyze hardware telemetry across tens of thousands of hosts, and build tooling that directly determines whether capacity is available to customers. This role spans the full stack—from hardware monitoring interfaces, to health diagnostics up through fleet-wide data pipelines and dashboards—working