10 days ago
Santa Clara, CA, USAIntern
H1B sponsor
Responsibilities
- Run performance, image-quality, power, and GPU benchmarks across AI, LLM, visualization, deep learning, HPC, and other applications.
- Configure computer systems, hardware, operating systems, drivers, and software tools for benchmarking and data collection.
- Develop automation scripts, testing tools, and processes to improve data gathering and testing efficiency.
- Assemble and configure computer hardware and perform hands-on GPU platform performance and power tests.
- Aggregate, analyze, and report benchmark data for internal software, hardware, sales, and marketing teams.
Requirements
- Must be actively enrolled in a university pursuing a B.S. or M.S. in Electrical Engineering, Computer Engineering, Computer Science, or a related field for the full 8–12-month internship.
- Applicants must clearly include their anticipated graduation month and year on their resume or CV.
- Preferred start dates are February 2027 or May 2027.
- Depending on the role, relevant coursework or internship experience may include Python, Linux and shell scripting, GPU programming, deep learning frameworks, HPC applications, containers, embedded platforms, benchmarking, debugging, power testing, compilers, and clusters.
Benefits
- 8–12-month full-time internship with hands-on experience on projects with measurable business impact.
- Intern benefits are provided.
- Preferred internship start dates are February 2027 or May 2027; applications are reviewed on an ongoing basis.
Tech Stack
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.