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. Your work spans the full stack — from hardware monitoring interfaces, to health diagnostics up through fleet-wide data pipelines and operational dashboards.

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