NVIDIA
NVIDIA Spring 2027 Internships: Developer and Performance Technology
US, CA, Santa Clara · Internship · Posted Oct 12, 2026
- Experience
- No specific number of years stated; relevant course or internship experience may be required depending on the role.
- Education
- Currently pursuing a B.S. or M.S. degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
About the job
Interns perform GPU performance, power, and image-quality benchmarking, analyze results, and develop automation and test tools across NVIDIA performance engineering, platform, deep learning, and HPC projects.
What you'll do
- Run GPU performance, power, and image-quality benchmarks; configure hardware and software test systems.
- Analyze benchmarking data and produce reports for internal teams.
- Develop and maintain scripts, automation tools, and processes for testing.
What they ask for
- Be actively enrolled throughout the internship in a B.S. or M.S. program in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Clearly state anticipated graduation month and year on resume or CV.
Nice to have
- Relevant coursework or internship experience with GPU programming, deep learning or HPC frameworks, Linux, Python/shell scripting, benchmarking, or power testing.
- Experience with containers, embedded platforms, 3D graphics, debugging, system configuration, compilers, or clusters.
Pay
20 USD - 71 USD per hour (hourly rate)
Tools
Linux, Python, CUDA, OpenCL, TensorFlow, PyTorch, TensorRT, Docker
AI focus
Benchmarking and performance testing for AI and deep learning workloads, including LLM applications and GPU-accelerated frameworks.
Model-written summary · the original posting is authoritative