PhD LLM Research Internship - Innovate & Collaborate

NVIDIA; Santa Clara (CA); On-site; USD 79,000 - 196,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA offers a Ph.D. research internship focused on advancing large language and multimodal models at our Santa Clara campus. You will conduct novel research, collaborate across teams, and help translate findings into prototypes and potential products.

Ideal candidates are pursuing a Ph.D. in CS/EE, with strong publication records, Python/C++, CUDA experience, and deep learning framework familiarity. Intern benefits are available and applications are reviewed ongoing.

Qualifications

• Currently enrolled in a Ph.D. program in Computer Science, Electrical Engineering, or a related field.
• Experience with Python, C++, CUDA, and DL frameworks.
• Strong research background with publications.
• Excellent communication and collaboration skills.
• Experience with large-scale model training is a plus.

Responsibilities

• Research and develop novel methods for advancing LLMs and multimodal models.
• Collaborate with team members, teams, and external researchers.
• Transfer research to product groups with prototypes, patents, products, and/or publications.

Skills

Python

C++

CUDA

Deep learning frameworks

Education

PhD candidate in CS/EE (or related)

Tools

PyTorch

TensorFlow

JAX

Job description

NVIDIA offers a Ph.D. research internship focused on advancing large language and multimodal models at our Santa Clara campus. You will conduct novel research, collaborate across teams, and help translate findings into prototypes and potential products.

Ideal candidates are pursuing a Ph.D. in CS/EE, with strong publication records, Python/C++, CUDA experience, and deep learning framework familiarity. Intern benefits are available and applications are reviewed ongoing.