Senior Systems Performance Engineer - CA, Santa Clara, United States
Originally posted 4 September 2026 by the employer. Relisted by the employer on 5 September 2026.
Work on GPU SKU bring up and performance modeling within the DGX Server Product Engineering Team.
About the role
Work spans system architecture, design, and performance modeling across new models and packages.
What you'll do
- Perform system architecture, design, performance modelling, and estimation across new models and new packages. - Enable GPU SKU bring up, validation, and model enablement. - Develop system level stress and performance testing strategies using Deep Learning/AI applications.
What you'll need
- Ability to work on site in a hardware lab environment 5 days a week. - BSEE or BSCE or equivalent experience. - 5+ years of experience in validating and debugging complex systems. - Experience developing and running real world ML/LLM workloads. - Hands-on skills with Dynamo, TensorRT, Slurm, and BCM. - Proficiency in Cuda, Cublas, and Cutlass. - Deep understanding of computing architectures. - Coding experience with Python programming and running simulators. - Experience with datacenter products including system management, security, networking, and storage.
Nice to have
- Knowledge of vLLM and SG Lang. - Track record of continuous process improvement with tools and automation.
Skills: System architecture, performance modelling, GPU SKU bring up, Deep Learning/AI applications, automated test plans
This role has been open 200 days — well above the 52-day median for Hardware Systems Engineering roles.
Hardware Systems Engineering · AI ML Hardware
|
Open roles in category
1009
|
Median days open
52 d
|
Median salary
$155k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (1009 roles · 102 employers) |
|---|---|---|
| Open roles in this specialty | 50 | 1009 |
| Open roles in the wider Software, Firmware & Systems family | 981 | 6250 · 144 employers |
| Median days open | 69 d | 52 d (+17 d vs this employer) |
| Median salary (USD postings) | — | $155k |
Skills observed across this category: System architecture, performance modelling, GPU SKU bring up, Deep Learning/AI applications, automated test plans
Who's hiring in this category
- Intel Corporation · 73 open roles · median 37 d
- KLA Corporation · 63 open roles · median 51 d
- Teradyne · 59 open roles · median 37 d
- NVIDIA (this employer) · 51 open roles · median 69 d
- Applied Materials · 47 open roles · median 65 d
- AMD · 43 open roles · median 54 d
How we counted: 1009 open Hardware Systems Engineering (AI ML Hardware) roles from 102 employers tracked in the SemiconductorJobs index, counted 25 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.