Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators

What you'll do

• Develop fleet-scale health monitoring, predictive failure detection, and automated fault remediation.
• Design hardware test, qualification, and diagnostic frameworks; debug issues across hardware, firmware, Linux, and networking.
• Build telemetry and test-data pipelines, maintain Linux device drivers, and collaborate with engineering, operations, and manufacturing partners.

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.
• 7+ years of administrative experience in networking, storage systems, operating systems, and hands-on systems engineering.
• Knowledge of systems engineering fundamentals (networking, storage, operating systems) 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 the Scrum methodology.

Pay

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

Tools

C++, C#, Java, Python, Golang, PowerShell, Ruby, Linux

AI focus

Develop infrastructure for AI/ML accelerator fleet health, including GPU diagnostics, telemetry-based predictive failure detection, and automated remediation.