Sr. Data Center GPU Validation and Debug Engineer - TX, Austin, United States
Originally posted 10 September 2026 by the employer.
About the role
This role involves validating and debugging data center GPU products across the complete software and hardware stack, spanning workload behavior and performance qualification as well as platform health and root-cause isolation. The work requires tracing unexpected behavior from application to hardware, working across firmware, kernel, compiler, library, and framework teams.
What you'll do
- Debug GPU failures including hangs, crashes, memory faults, firmware errors, and performance regressions across the full software and hardware stack.
- Reproduce failures and reduce them to minimal, actionable test cases.
- Triage system-level interactions across GPU, CPU, memory, networking, power, and platform topology.
- Validate AI, HPC, and communication workloads across GPU platforms, firmware, and software releases.
- Characterize performance and identify compute, memory, and communication bottlenecks.
- Analyze single- and multi-GPU behavior across workload configurations, topology, NUMA, power, and thermal conditions.
What you'll need
- Strong Linux and systems-engineering experience, with C/C++, Python, and shell automation.
- Experience with data center GPUs, accelerators, or comparable high-performance systems.
- Understanding of GPU architecture, memory hierarchy, parallel execution, communication, and synchronization.
- Experience debugging across software, firmware, kernel, and hardware boundaries.
- Ability to analyze logs, traces, hardware telemetry, and performance counters.
- Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
Nice to have
- Strong knowledge of Linux kernel drivers, PCIe, firmware interaction, and memory management.
- Familiarity with GPU programming models and runtimes such as ROCm/HIP, RCCL, or CUDA equivalents.
- Experience with AI training or inference frameworks such as PyTorch, vLLM, or SGLang.
- Experience benchmarking AI inference, training, or HPC workloads, including roofline analysis and model-level profiling.
- Experience with profiling tools, statistical analysis, and regression detection.
- Familiarity with multi-GPU topology, PCIe/fabric interconnects, NUMA, GPU firmware, RAS, and rack-scale platforms.
- Experience with system bring-up, qualification, or production data center operations.
- Familiarity with CI systems, automated validation infrastructure, and fleet-scale testing.
Skills: GPU failures, debug, workload behavior, performance qualification, firmware
This role has been open 34 days — below the 41-day median for Post-Silicon Validation roles.
Post-Silicon Validation · Silicon Validation
|
Open roles in category
412
|
Median days open
41 d
|
Median salary
$166k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (412 roles · 61 employers) |
|---|---|---|
| Open roles in this specialty | 59 | 412 |
| Open roles in the wider Silicon Validation & Test family | 151 | 2224 · 112 employers |
| Median days open | 41 d | 41 d (same as this employer) |
| Median salary (USD postings) | — | $166k |
Skills observed across this category: GPU failures, debug, workload behavior, performance qualification, firmware
Who's hiring in this category
- AMD (this employer) · 58 open roles · median 41 d
- Micron Technology · 39 open roles · median 37 d
- Qualcomm · 37 open roles · median 27 d
- NVIDIA · 25 open roles · median 22 d
- Graphcore · 21 open roles · median 120 d
- Microchip Technology · 20 open roles · median 70 d
How we counted: 412 open Post-Silicon Validation (Silicon Validation) roles from 61 employers tracked in the SemiconductorJobs index, counted 15 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Silicon Validation & Test family row. Figures refresh nightly.