Algorithm Engineering Intern (GPU/CUDA) - Milpitas, CA, United States
$49 - $58 USD hourly
Originally posted 12 October 2026 by the employer.
About the role
This Algorithm Engineering Intern role focuses on advancing business priorities by delivering high-impact work within the algorithm engineering team.
What you'll do
- Deliver high-impact work related to algorithm engineering.
What you'll need
- Strong programming skills in C/C++.
- Hands-on experience developing CUDA applications and writing CUDA kernels.
- Understanding of GPU architecture and parallel programming concepts.
- Experience with Linux-based software development environments.
- Strong analytical, debugging, and problem-solving skills.
- Currently pursuing an M.S. or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field.
- Less than 1 year of related experience.
Nice to have
- Proficient in writing CUDA kernels for image-processing or similar compute-intensive workloads.
- Strong knowledge of CUDA kernel optimization techniques for improving compute efficiency and memory performance.
- Strong understanding of performance optimization techniques and hardware-aware software design.
Skills: CUDA applications, GPU architecture, parallel programming, image-processing algorithms, CUDA kernels
This role has been open 2 days — well below the 56-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · GPU Software Stack
|
Open roles in category
231
|
Median days open
56 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | KLA Corporation | All employers we track in this specialty (231 roles · 20 employers) |
|---|---|---|
| Open roles in this specialty | 1 | 231 |
| Open roles in the wider Software, Firmware & Systems family | 210 | 6149 · 145 employers |
| Median days open | 2 d | 56 d (−54 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: CUDA applications, GPU architecture, parallel programming, image-processing algorithms, CUDA kernels
Who's hiring in this category
- NVIDIA · 117 open roles · median 55 d
- AMD · 53 open roles · median 65 d
- Qualcomm · 19 open roles · median 106 d
- Intel Corporation · 17 open roles · median 6 d
- Arm Holdings · 5 open roles · median 112 d
- d-Matrix · 2 open roles · median 120 d
How we counted: 231 open Infrastructure/Platform Software (GPU Software Stack) roles from 20 employers tracked in the SemiconductorJobs index, counted 15 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.