AI Systems Performance Engineer - TX, Austin, United States
Originally posted 6 October 2026 by the employer.
About the role
What you'll do
- Benchmark and characterize AI inference workloads across AMD embedded and client platforms.
- Execute performance, power, and efficiency analysis of modern AI workloads, including Large Language Models (LLMs), Vision Language Models (VLMs), computer vision applications, and emerging AI use cases.
- Develop and maintain automated benchmarking environments and performance dashboards.
- Configure and optimize AI workload execution environments using industry-standard frameworks and runtimes.
- Collect, analyze, and interpret system-level performance traces using hardware and software profiling tools.
- Investigate workload bottlenecks involving compute, memory bandwidth, latency, and system resource utilization.
What you'll need
- Experience with AI inference frameworks such as PyTorch, ONNX Runtime, TensorFlow, vLLM, llama.cpp, or similar technologies.
- Familiarity with modern AI model architectures including LLMs, VLMs, CNNs, and Vision Transformer (ViT) workloads.
- Strong Linux systems knowledge and experience working in command-line environments.
- Experience with performance profiling, workload tracing, and system analysis tools.
- Understanding of CPU, GPU, NPU, memory, and system-level performance interactions.
- Experience with Python, Shell scripting, or automation frameworks.
Nice to have
- Knowledge of AMD, x86, ARM, or embedded computing platforms.
- Understanding of power and performance optimization methodologies.
- Familiarity with BIOS configuration and system bring-up activities.
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Skills: AI workloads, performance optimization, AI inference frameworks, LLMs, GPU, NPU
This role has been open 3 days — well below the 48-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · AI ML Hardware
|
Open roles in category
110
|
Median days open
48 d
|
Median salary
$220k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (110 roles · 30 employers) |
|---|---|---|
| Open roles in this specialty | 9 | 110 |
| Open roles in the wider Software, Firmware & Systems family | 404 | 6047 · 146 employers |
| Median days open | 43 d | 48 d (−5 d vs this employer) |
| Median salary (USD postings) | — | $220k |
Skills observed across this category: AI workloads, performance optimization, AI inference frameworks, LLMs, GPU, NPU
Who's hiring in this category
- NVIDIA · 24 open roles · median 41 d
- Qualcomm · 21 open roles · median 44 d
- AMD (this employer) · 9 open roles · median 42 d
- Intel Corporation · 8 open roles · median 16 d
- Graphcore · 7 open roles · median 94 d
- Micron Technology · 5 open roles · median 51 d
How we counted: 110 open Infrastructure/Platform Software (AI ML Hardware) roles from 30 employers tracked in the SemiconductorJobs index, counted 9 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 Software, Firmware & Systems family row. Figures refresh nightly.