System Failure Analysis Engineer; GPU Servers​/Data Center

Position: System Failure Analysis Engineer (GPU Servers / Data Center)
WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture.

We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

THE ROLE:

As a Senior Failure Analysis (FA) Engineer, you will play a critical role in diagnosing, isolating, and resolving complex failures across GPU-accelerated server platforms deployed in rack-level and data center environments, including ODM factory support. This is a highly technical, hands-on role focused on server bring-up, system-level debug, and rack integration troubleshooting across CPU, GPU, memory, PCIe, networking, power delivery, and thermal subsystems.

You will leverage advanced electrical, firmware, and platform-level diagnostic tools, along with AI-assisted debug and failure analysis techniques, to accelerate root cause identification and improve system reliability s role requires deep experience with server and rack-level platforms, including BIOS/BMC behavior and data center operations-not just component-level failure analysis. You will collaborate closely with platform design, firmware, validation, manufacturing, and quality teams to improve product robustness, shorten debug cycles, and drive corrective actions across deployed infrastructure.

THE PERSON:

The ideal candidate is analytical, detail-oriented, and thrives in high-visibility debug environments. You are comfortable owning complex investigations spanning hardware, firmware, power sequencing, and system interoperability in multi-node GPU server systems.

You bring strong experience in server bring-up and rack-level troubleshooting and can translate technical findings into clear RCA/FMEA documentation and actionable design improvements. You are equally effective working independently in lab environments and cross-functionally with engineering, manufacturing, and quality teams.

You are also comfortable adopting AI-assisted engineering workflows to enhance debug efficiency, log analysis, and knowledge sharing.

KEY RESPONSIBILITIES:

Platform & System Failure Analysis

* Perform component-, system-, and rack-level failure analysis on GPU-accelerated server platforms

* Debug issues across CPU, GPU, memory, PCIe, networking, storage, power, and thermal subsystems

* Support server bring-up and manufacturing test failures (POST, BIOS/UEFI configuration, PCIe enumeration, firmware interactions)

* Analyze BIOS, BMC, IPMI, and system logs to identify hardware/firmware interaction issues

* Reproduce factory or field failures in lab environments to validate root cause and corrective actions

* Utilize system-level debug tools (oscilloscopes, logic analyzers, protocol analyzers, power tools)

ODM Factory Enablement & Execution

* Support ODM manufacturing test, failure debug, and troubleshooting

* Lead issue triage and structured debug activities with ODM partners

* Train ODM teams on debug procedures and failure isolation techniques

* Develop and maintain SOPs, debug guides, and troubleshooting documentation

* Manage factory escalations with clear diagnosis, recommendations, and communication

Cross-Functional Collaboration

* Partner with design, firmware, validation, manufacturing, and quality teams to resolve issues

* Drive RCA/FMEA documentation with clear problem statements and data-backed actions

* Provide feedback to improve DfR, DfT, and DfS

AI-Assisted Debug & Knowledge Development

* Use AI tools to:

* Analyze logs and failure patterns

* Improve debug efficiency

* Contribute to scalable debug knowledge bases

PREFERRED EXPERIENCE:

* Hands-on experience debugging server platforms in rack-level or data center environments

* Experience…