Systems Development Engineer, GPU & AI Accelerator Servers, AWS Hardware Engineering

About the role

AWS Hardware Engineering is looking for 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.

Responsibilities

• Analyze hardware failure patterns using fleet telemetry, system event logs, and datacenter tooling 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
• Build tooling to track component lifecycle (firmware versions, part revisions, supply chain status) across large-scale fleets
• Develop and maintain automation for hardware test, firmware qualification, and capacity recovery workflows
• Develop diagnostic tools for Linux on ARM and x86 architectures
• Debug and resolve Linux boot and runtime issues across processor architectures - PCIe, Power, NIC, NVMe, and GPU subsystems
• Build automation solutions using Python, Java, or similar languages with focus on scalability and operational durability
• Cross-Team Collaboration
• Collaborate with software, hardware, manufacturing, networking, and vendor teams to validate and qualify new compute solutions
• Troubleshoot complex system-level issues in production environments, correlating across firmware, operating systems, drivers, and physical layers
• Participate in sprint-based planning and oncall rotation for platform-level escalations

Qualifications

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