Senior Data Center GPU Validation & Debug Engineer

AMD; Austin (TX); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

AMD Benefits at a glance

Job summary

AMD is seeking an experienced engineer to validate and debug data center GPU products across the complete software and hardware stack. The role requires strong technical judgment, disciplined failure isolation, and the ability to trace unexpected behavior from application to hardware, collaborating with firmware, kernel, compiler, library, and framework teams to drive issues to resolution.

The candidate will debug GPU failures, reproduce issues, and triage platform interactions while validating

Qualifications

• Strong Linux and systems engineering experience.
• Proficient in C/C++, Python, and shell automation.
• Experience with data center GPUs or comparable high-performance systems.

Responsibilities

• Debug GPU failures across the full software and hardware stack.
• Reproduce failures and create minimal, actionable test cases.
• Triage system-level interactions across GPU, CPU, memory, networking, power, and topology.
• Validate AI, HPC, and workloads across GPU platforms and software releases.
• Characterize performance and identify compute, memory, and communication bottlenecks.
• Analyze single- and multi-GPU behavior under various configurations.
• Establish benchmarks and regression-detection methods; correlate microbenchmarks with workloads.
• Build automated diagnostics, stress tests, and regression infrastructure.
• Support customer validation and escalation reproduction.

Skills

Linux

System engineering

C/C++

Python

Shell scripting

Education

Bachelor's or Master's in CS/CE/EE

Tools

ROCm/HIP

CUDA

PCIe

Job description

AMD is seeking an experienced engineer to validate and debug data center GPU products across the complete software and hardware stack. The role requires strong technical judgment, disciplined failure isolation, and the ability to trace unexpected behavior from application to hardware, collaborating with firmware, kernel, compiler, library, and framework teams to drive issues to resolution.

The candidate will debug GPU failures, reproduce issues, and triage platform interactions while validating