Performance Engineer, Deep Learning and HPC - CA, Santa Clara, United States
$116,000 - $212,750 USD yearly
Originally posted 5 October 2026 by the employer.
About the role
This role involves generating benchmark data for Deep Learning and HPC frameworks and applications on NVIDIA and competitive products.
What you'll do
- Plan and execute performance benchmarking across a wide range of HPC and DL frameworks and applications.
- Aggregate, analyze, and generate written and visual reports with testing data for internal teams.
- Develop Python scripts to automate the testing of DL & HPC-focused applications.
- Work with internal engineering teams to debug performance issues.
- Assist with the development of tools and processes for automated testing.
What you'll need
- B.S. in Computer Engineering, Computer Science or related technical field (or equivalent experience).
- 2+ years of experience.
- Programming and debugging skills in a scripting language such as Python or Unix shell.
- Advanced knowledge using Linux based systems (Ubuntu and CentOS strongly preferred).
- Proficient in compiling software from source code, including debugging errors.
- Excellent data analysis skills and the ability to summarize findings in a written report.
- Familiarity using a container platform such as Docker or Singularity.
Nice to have
- Experience using a GPU-enabled deep learning framework such as PyTorch, MXNet, or TensorRT.
- Experience using GPU-enabled HPC applications such as LAMPS, GROMACS, Amber, RTM.
- GPU/CPU benchmarking on cloud solutions from AWS, GCP, Azure.
- Experience with software compilers such as GNU, Intel Composer, or PGI.
- Previous experience with computer clusters and cluster orchestration and scheduling tools.
Skills: Deep Learning, HPC, benchmarking, Python scripting, Linux
This role has been open 0 days — well below the 56-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · GPU Software Stack
|
Open roles in category
225
|
Median days open
56 d
|
Median salary
$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 (225 roles · 19 employers) |
|---|---|---|
| Open roles in this specialty | 127 | 225 |
| Open roles in the wider Software, Firmware & Systems family | 971 | 5996 · 146 employers |
| Median days open | 49 d | 56 d (−7 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: Deep Learning, HPC, benchmarking, Python scripting, Linux
Who's hiring in this category
- NVIDIA (this employer) · 122 open roles · median 52 d
- AMD · 57 open roles · median 55 d
- Qualcomm · 17 open roles · median 165 d
- Arm Holdings · 5 open roles · median 103 d
- Intel Corporation · 5 open roles · median 53 d
- d-Matrix · 2 open roles · median 111 d
How we counted: 225 open Infrastructure/Platform Software (GPU Software Stack) roles from 19 employers tracked in the SemiconductorJobs index, counted 6 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.