NVIDIAUnited States+1 more
NVIDIA
US, CA, Santa Clara
Research Science
Posted 4 days ago
Verified open on Oct 4, 2026 · posted 4 days ago
NVIDIA Research is seeking PhD-level students to work as research interns at the intersection of AI HW/SW Co-Design, Hardware Accelerator Architecture, IC Design Methodology, and VLSI Design. Ideal candidates will have a broad perspective across areas including machine learning fundamentals, quantization and numerical methods for machine learning model optimization, digital VLSI circuits for computer arithmetic, high-productivity VLSI design and verification methodologies including applications of agentic AI to hardware design, AI hardware micro-architecture, and VLSI methodology and implementation.
What You’ll Be Doing:
What We Need To See:
Widely considered to be one of the technology world’s most desirable employers, NVIDIA has some of the most forward-thinking and hardworking people in the world inventing the future for us. Are you a creative and collaborative researcher interested in seeking new challenges? If so, we want to hear from you!
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.
You will also be eligible for Intern benefits. ​
Applications for this job will be accepted at least until October 3, 2026.This posting is for an existing vacancy.Â
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.Not ready to apply?
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This role is classified as Research Science.
$222k - $348k is the middle 50% of disclosed salaries, measured from 273 live Research Science postings on this board. Roughly two thirds of postings disclose nothing, so this describes the ones that do, not the whole market.
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