NVIDIA 2027 Internships: Deep Learning - CA, Santa Clara, United States
$20 - $71 USD yearly
Originally posted 19 August 2026 by the employer.
Work on projects developing deep learning applications and algorithms or building deep learning frameworks and libraries on GPUs.
About the role
This internship focuses on Deep Learning, with potential projects in deep learning applications, algorithms, frameworks, and libraries. Interns will work on projects improving the performance of GPU implementations and optimizing core deep learning algorithms.
What you'll do
- Develop algorithms for deep learning, data analytics, or scientific computing
- Improve performance of GPU implementations
- Contribute to software packages such as JAX, PyTorch, and TensorFlow
- Integrate the latest library (e.g., cuDNN) or CUDA features, including performance tuning and analysis
- Optimize core deep learning algorithms and libraries (e.g., CuDNN, CuBLAS)
What you'll need
- Actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field
- Prior experience or knowledge in programming skills and technologies including C, C++, CUDA, Python, x86, ARM CPU, GPU, Linux, Direct3D, Vulkan, OpenGL, OpenCL, Spark, Perl, Bash/Shell Scripting
- Prior experience or knowledge in container Tools (Docker/Containers, Kubernetes) or Infrastructure Platforms (AWS, Azure, GCP)
- Prior experience or knowledge in Data Technologies (Kafka, ELK, Cassandra, Apache Spark), React, Go
- Course or internship experience related to Deep Neural Networks, Linear Algebra, Numerical Methods, Computer Vision, Software Design, Computer Memory (Disk, Memory, Caches), CPU and GPU Architectures, Networking, Numeric Libraries, Embedded System Design and Development, Drivers, Real-Time Software
- Course or internship experience related to Computer Architecture (CPUs, GPUs, FPGAs or other accelerators), GPU Programming Models, Performance-Oriented Parallel Programming, Optimizing for High-Performance Computing (HPC), Algorithms, Numerical Methods
Skills: deep learning, GPU implementations, frameworks, libraries, CUDA
This role has been open 58 days — slightly above the 51-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
974
|
Median days open
51 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 (974 roles · 86 employers) |
|---|---|---|
| Open roles in this specialty | 281 | 974 |
| Open roles in the wider Software, Firmware & Systems family | 991 | 6157 · 145 employers |
| Median days open | 45 d | 51 d (−6 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: deep learning, GPU implementations, frameworks, libraries, CUDA
Who's hiring in this category
- NVIDIA (this employer) · 281 open roles · median 46 d
- Qualcomm · 61 open roles · median 55 d
- AMD · 55 open roles · median 22 d
- Graphcore · 44 open roles · median 91 d
- Intel Corporation · 41 open roles · median 10 d
- Cerebras · 39 open roles · median 81 d
How we counted: 974 open Infrastructure/Platform Software (Infrastructure Platform) roles from 86 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.