PhD Research Intern - Efficient DL for Diffusion LLMs

NVIDIA Corporation; Santa Clara (CA); On-site; USD 52,000 - 129,000; Part time

Job summary

NVIDIA Corporation is seeking an outstanding PhD intern to advance efficient deep learning within the Deep Learning Efficiency Research (DLER) team in Santa Clara, CA. You will explore diffusion LLMs, multimodal models, and agentic AI with hybrid cloud-edge inference, aiming to deliver impactful research for real-world products.

The role emphasizes publishing in top venues, collaborating with internal and external researchers, and transferring technology to product groups.

Qualifications

• 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).
• Outstanding research track record with top-tier conferences (ICML, ICLR, NeurIPS, CVPR, ICCV, etc.).
• Excellent communication skills.

Responsibilities

• Research, design, and implement novel methods for efficient deep learning in diffusion LLMs, multimodal models, or agentic systems.
• Publish original research.
• Collaborate with team members and other groups, and transfer technology to product groups.
• Collaborate with external researchers.

Skills

ML theory

LLMs

Diffusion models

Multimodal models

Communication

Education

PhD student in CS/EE

Tools

CUDA

Job description

NVIDIA Corporation is seeking an outstanding PhD intern to advance efficient deep learning within the Deep Learning Efficiency Research (DLER) team in Santa Clara, CA. You will explore diffusion LLMs, multimodal models, and agentic AI with hybrid cloud-edge inference, aiming to deliver impactful research for real-world products.

The role emphasizes publishing in top venues, collaborating with internal and external researchers, and transferring technology to product groups.