Senior AI Training Performance Architect
$184,000 - $356,500 USD yearly
Originally posted 24 July 2026 by the employer.
About the role
NVIDIA is seeking a Senior AI Training Performance Architect to perform performance analysis and optimization across hardware and software stacks for AI training workloads. The role focuses on profiling GPU systems, implementing workloads in proprietary processor and system simulators, and optimizing production deep learning platform software.
What you'll do
- Understand, analyze, profile, and optimize AI training workloads on hardware and software platforms.
- Identify performance bottlenecks of AI training on GPUs, prioritizing and solving problems across key AI training workloads.
- Implement production-quality software across multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks.
- Build and support NVIDIA submissions for MLPerf Training benchmarks.
- Implement key DL training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies.
- Develop tools to automate workload analysis, optimization, and critical workflows.
What you'll need
- PhD in CS, EE, or CSEE (or equivalent experience) with 5+ years of relevant experience, or MS with 8+ years of experience.
- Background in deep learning and neural networks, particularly in training.
- Understanding of computer architecture and familiarity with GPU architecture fundamentals.
- Experience in analyzing and tuning application performance.
- Experience with processor and system-level performance modeling.
- Proficiency in programming with C++, Python, and CUDA.
Skills: AI training workloads, GPU architecture, performance optimization, processor simulators, deep learning
More semiconductor jobs: NVIDIA jobs · AI chip design jobs · California jobs
This role has been open 98 days — slightly above the 92-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
478
|
Median days open
92 d
|
Category median salary (all employers)
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (478 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 102 | 478 |
| Open roles in the wider Software, Firmware & Systems family | 1117 | 6358 · 144 employers |
| Median days open | 74 d | 92 d (−18 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI training workloads, GPU architecture, performance optimization, processor simulators, deep learning
Who's hiring in this category
- Qualcomm · 95 open roles · median 122 d
- NVIDIA (this employer) · 88 open roles · median 66 d
- AMD · 32 open roles · median 114 d
- Mobileye · 19 open roles · median 89 d
- Micron Technology · 18 open roles · median 74 d
- Analog Devices · 15 open roles · median 49 d
How we counted: 478 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 31 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.