Manufacturing System Development Engineer, Cloud AI​/ML​/storage server teams

Description

Final date to receive applications:
Jul 22, 2026

Amazon Web Services (AWS) Hardware Engineering designs and delivers next-generation cloud infrastructure. Our team builds custom accelerator systems that power AI, machine learning, and compute workloads at global scale.

We are seeking a Manufacturing Systems Development Engineer to own manufacturing test software, diagnostic tooling, and hardware debug for GPU-based server platforms at our ODM/CM manufacturing sites. In this role, you will be on the manufacturing floor debugging complex system failures, developing automation to improve yield and throughput, and building diagnostic tools that enable root cause identification at the line. You will bridge the gap between hardware design intent and manufacturing execution — ensuring our platforms are testable, diagnosable, and launch with exceptional quality.

This role requires someone equally comfortable writing code and debugging hardware. You will develop test automation, build diagnostic frameworks, and personally troubleshoot failures spanning firmware, kernel, drivers, PCIe, power, and GPU subsystems — all in a fast-paced manufacturing environment. When something fails at the line, you are the person who figures out why.

Domestic and international travel (~25%)

• Debug complex system-level failures at the manufacturing line across compute, storage, GPU, networking, power, and thermal domains

• Perform root cause analysis correlating across firmware, kernel, driver, PCIe, signal integrity, and physical layers to isolate faults

• Troubleshoot Linux boot and runtime failures across x86 and ARM architectures, including NVMe, GPU, NIC, and accelerator subsystems

• Drive Root Cause Corrective Action (RCCA) for yield detractors, test escapes, and recurring manufacturing failures

• Provide on-site ODM/CM support during critical builds, EVT/DVT/PVT phases, and production ramp

• Design, develop, and maintain manufacturing test software and diagnostic tools deployed at ODM/CM lines

• Build automation that reduces manual triage — enabling faster fault isolation and higher first-pass yield

• Develop and optimize system-level test flows (BFT, functional test, stress test, burn-in) for GPU accelerator platforms

• Build, manage, and deploy CI/CD pipelines for rapid deployment of test code to manufacturing environments

• Write scalable, robust code in Python, C/C++, or Java to solve manufacturing test and debug challenges

• Define and improve manufacturing test strategy including coverage, duration, fixture requirements, and pass/fail criteria

• Analyze test data and yield trends to identify systemic issues; drive design and process improvements

• Collaborate on DFx reviews (DFT/DFM) to ensure new designs are testable and diagnosable at the manufacturing line

• Develop diagnostic tooling requirements for ODM/CM enablement — ensuring partners can effectively screen and debug at scale

• Research and implement automation techniques to improve manufacturing efficiency and reduce human intervention

• Work across hardware design, firmware, qualification, and manufacturing engineering teams to close the loop between line failures and design improvements

• Engage with ODMs and design partners on testability, diagnostic, and automation requirements during NPI

• Collaborate with internal teams on GPU module integration, test coverage, and manufacturing debug procedures

• Partner with fleet health teams to ensure manufacturing diagnostics align with production monitoring and field failure analysis

• 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

• Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, Power Shell, Ruby

• 5+ years of software development experience with at least one modern language (Python, C/C++, Java)

• 3+ years of experience debugging hardware systems — server, accelerator, storage, or high-tech…