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

What you'll do

• Analyze fleet telemetry, system logs, and hardware failure patterns to identify root causes, quantify customer impact, and support predictive failure detection.
• Build and maintain automation for hardware testing, firmware qualification, capacity recovery, and Linux diagnostics across ARM and x86 systems.
• Collaborate across hardware, software, manufacturing, networking, and vendor teams to qualify compute platforms and resolve production system issues.

What they ask for

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

Nice to have

• Experience with PowerShell, Python, Ruby, or Java.
• Experience working in an Agile environment using Scrum.

Pay

USD 148,700.00 - 201,200.00 annually (base salary); USD 129,200.00 - 174,800.00 annually (base salary)

Tools

Linux, ARM, x86, PCIe, Power, NIC, NVMe, GPU

AI focus

Maintains server platforms and infrastructure that provide compute capacity for generative AI customers and AI training and inference workloads.