What we need to see
Pursuing a BS or MS in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
Hands-on programming experience with Python, including writing scripts for automation, data processing, or testing.
Academic or project experience with computer architecture fundamentals
Experience with lab equipment such as DMMs, Agilent DAQs, or National Instruments DAQs.
Exposure to performance or power measurement, including collecting, comparing, and interpreting results from experiments or coursework.
Ways to stand out from the crowd
Interested in GPU technology and how hardware and software work together to improve performance per watt.
Familiarity with electrical fundamentals or lab equipment used for power measurement, such as multimeters or data acquisition tools.
Experience with running application-based benchmarks across Gaming, ProViz, AI domains.
Passionate about learning, collaborating with engineers from different fields, and contributing to real product decisions.
We have some of the most forward-thinking and hardworking people in the world working for us and our best-in-class engineering teams are rapidly growing. We are building a team that will help shape the future of data center computing. If you are passionate about new technologies, care about improving efficiency and quality, and want to be at the forefront of technology, we would love for you to join us.
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 20 USD – 71 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until November 14, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
