Manufacturing Systems Engineer - GPU Server Debug

Amazon Web Services (AWS); Seattle (WA); On-site; USD 129,200 - 174,800; Full time

Job summary

Amazon Web Services (AWS) is seeking a Manufacturing Systems Development Engineer to own test software, tooling, and hardware debug for GPU-based server platforms at ODM/CM sites. You will debug line faults, automate tests, and build diagnostic tools to improve yield and throughput, bridging hardware design intent with manufacturing execution.

You will work across firmware, kernel, drivers, PCIe, power, and GPU subsystems, and travel ~25% to support on-site builds and ramp phases.

Qualifications

• 2+ years of non-internship professional software development experience.
• 1+ years designing or architecting new and existing systems.
• Experience programming in at least one modern language (C++, C#, Java, Python, Go, PowerShell, Ruby).
• 5+ years of software development experience in at least one modern language.
• 3+ years debugging hardware systems on manufacturing lines.
• Experience with Linux/Unix boot flow, kernel, drivers, OS diagnostics.
• Willingness to travel ~25% domestically and internationally.

Responsibilities

• Debug complex system-level failures on the manufacturing line across compute, storage, GPU, networking, power, and thermal domains.
• Perform RCCA for yield detractors and test escapes.
• Provide on-site ODM/CM support during critical builds and ramp.
• Design and maintain manufacturing test software and diagnostic tools.
• Build automation to reduce manual triage and improve first-pass yield.

Skills

Python

C++

C#

Java

Golang

PowerShell

Linux debugging

Hardware debugging

ODM/CM collaboration

CI/CD pipelines

Education

Bachelor's degree or equivalent

Tools

Oscilloscope

Logic Analyzer

CI/CD toolchains

NVMe & PCIe debugging

Job description

Amazon Web Services (AWS) is seeking a Manufacturing Systems Development Engineer to own test software, tooling, and hardware debug for GPU-based server platforms at ODM/CM sites. You will debug line faults, automate tests, and build diagnostic tools to improve yield and throughput, bridging hardware design intent with manufacturing execution.

You will work across firmware, kernel, drivers, PCIe, power, and GPU subsystems, and travel ~25% to support on-site builds and ramp phases.