Remote PhD Research Intern: Efficient Deep Learning

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

Benefits offered by this job

Intern benefits

Remote work option

Job summary

NVIDIA is seeking a PhD intern to work on efficient deep learning within the Deep Learning Efficiency Research (DLER) team. The role focuses on diffusion LLMs, multimodal models, and efficient agentic AI with hybrid cloud-edge inference orchestration.

You will publish original research, collaborate across teams, and help transfer technology to products, with internship benefits and a competitive hourly rate. Remote option is available.

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 at least one top-tier conference (ICML, ICLR, NeurIPS, CVPR, ICCV, etc.).
• Excellent communication skills.

Responsibilities

• Research, design, and implement novel methods for efficient deep learning in one or both of the team's focus areas.
• Publish original research.
• Collaborate with other team members and teams.
• Work with product groups to transfer technology.
• Collaborate with external researchers.

Skills

PhD candidate

ML/DL theory

LLMs / diffusion models

Large-scale training

Communication skills

Education

PhD in CS/Engineering/EE

Tools

CUDA

Job description

NVIDIA is seeking a PhD intern to work on efficient deep learning within the Deep Learning Efficiency Research (DLER) team. The role focuses on diffusion LLMs, multimodal models, and efficient agentic AI with hybrid cloud-edge inference orchestration.

You will publish original research, collaborate across teams, and help transfer technology to products, with internship benefits and a competitive hourly rate. Remote option is available.