Senior Data Center GPU Validation & Debug Engineer

Advanced Micro Devices; Austin (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Advanced Micro Devices (AMD) seeks an experienced engineer to validate and debug data center GPU products across the complete software and hardware stack. You will trace unexpected behavior from application to hardware, working across firmware, kernel, compiler, library, and framework teams to drive issues to resolution.

The role emphasizes strong Linux systems engineering, C/C++, Python, and shell automation, with exposure to ROCm/HIP, CUDA, and PCIe. Hybrid work model in the U.S. is supported.

Qualifications

• Strong Linux and systems-engineering experience.
• Experience with data center GPUs or high-performance systems.
• Understanding of GPU architecture and memory hierarchy.
• Experience debugging across software, firmware, kernel, and hardware boundaries.
• Ability to analyze logs, traces, and performance counters.

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 communication workloads across platforms and releases.
• Characterize performance and identify bottlenecks.
• Analyze single- and multi-GPU behavior under various configurations.
• Establish benchmarks, baselines, and regression-detection methods.
• Build automated diagnostics, stress tests, and regression infrastructure.
• Support customer-representative validation and escalation reproduction.

Skills

Linux systems

C/C++

Python

Shell scripting

GPU architecture

Performance analysis

Debugging

Education

Bachelor’s degree

Tools

ROCm/HIP

CUDA

PCIe

Job description

Advanced Micro Devices (AMD) seeks an experienced engineer to validate and debug data center GPU products across the complete software and hardware stack. You will trace unexpected behavior from application to hardware, working across firmware, kernel, compiler, library, and framework teams to drive issues to resolution.

The role emphasizes strong Linux systems engineering, C/C++, Python, and shell automation, with exposure to ROCm/HIP, CUDA, and PCIe. Hybrid work model in the U.S. is supported.