NVIDIA Spring 2027 Internships: Developer and Performance Technology - CA, Santa Clara, United States
$20 - $71 USD yearly
Originally posted 19 August 2026 by the employer.
About the role
This internship focuses on developer and performance technology for NVIDIA GPUs, covering performance engineering, platform performance, power, Deep Learning, and High-Performance Computing (HPC) applications.
What you'll do
- Run performance, image quality, and power tests for Professional Visualization, AI, and LLM benchmark applications on various GPUs.
- Build automation scripts for benchmarking procedures and balance configuration files.
- Complete post-silicon performance and power benchmarking on NVIDIA and competitive GPU products.
- Develop, implement, and maintain test systems by configuring hardware, operating systems, drivers, and software tools.
- Plan and execute GPU performance benchmarking across a wide range of HPC and DL Frameworks and Applications.
- Write scripts to improve data gathering through automation and design efficient processes for testing applications and hardware.
What you'll need
- Actively enrolled in a university pursuing a B.S. or M.S. degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Prior experience or knowledge with HPC Applications (LAMMPS, GROMACS, Amber, RTM) and Linux.
- Prior experience or knowledge with Python/Unix Shell Scripting and Containers (Docker or Singularity).
- Prior experience or knowledge with 3D Graphics, Image Quality and Power Testing, and Low Level System Configuration (BIOS Configurations, Memory Timing, Controlling Cache Latency, Overclocking).
- Prior experience or knowledge with Electrical Fundamentals (Power Measurement; Multimeters or Data Acquisition Tools), Compilers (GNU, Intel Composer, PGI), and Clusters (Slurm, Kubernetes).
- Prior experience or knowledge with Embedded Platforms, Debugging, Benchmarking, and Power Testing.
Skills: performance engineering, gpu accelerated deep learning, hpc applications, benchmarking, cuda
This role has been open 58 days — slightly above the 56-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · GPU Software Stack
|
Open roles in category
230
|
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 (230 roles · 20 employers) |
|---|---|---|
| Open roles in this specialty | 114 | 230 |
| Open roles in the wider Software, Firmware & Systems family | 991 | 6157 · 145 employers |
| Median days open | 55 d | 56 d (−1 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: performance engineering, gpu accelerated deep learning, hpc applications, benchmarking, cuda
Who's hiring in this category
- NVIDIA (this employer) · 114 open roles · median 56 d
- AMD · 52 open roles · median 64 d
- Intel Corporation · 20 open roles · median 7 d
- Qualcomm · 19 open roles · median 107 d
- Arm Holdings · 5 open roles · median 113 d
- d-Matrix · 2 open roles · median 121 d
How we counted: 230 open Infrastructure/Platform Software (GPU Software Stack) roles from 20 employers tracked in the SemiconductorJobs index, counted 16 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.