Publish original research.
Collaborate with other team members and teams.
Work with product groups to transfer technology.
Collaborate with external researchers.
What we need to see
Pursuing a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc.
Excellent knowledge of theory and practice of machine learning and deep learning.
Experience with large language models, diffusion language models, multimodal / vision-language models, or agentic systems is required.
Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.
Outstanding research track record with at least one top-tier conference (ICML, ICLR, NeurIPS, CVPR, ICCV, etc.).
Excellent communication skills.
Ways to stand out from the crowd
Parallel programming (e.g., CUDA).
Interest or experience in hybrid cloud–edge inference, orchestration, or adaptive routing.
Background in pruning, quantization, NAS, or efficient backbones.
NVIDIA is widely considered to be one of the technology world’s most desirable employers with competitive salaries and a generous benefits package, we have some of the most forward-thinking and hardworking people in the world working for us. And, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for computer architecture and technology, 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 expected hourly rates for this position are:
- US, CA, Santa Clara: 38 USD – 94 USD.
- US, CA, Remote: 30 USD – 94 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until November 3, 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.
