NVIDIA is seeking a PhD intern to join the Deep Learning Efficiency Research (DLER) team, focusing on efficient deep learning methods. The team specializes in efficient diffusion language models, multimodal generative models, and agentic AI with hybrid inference orchestration. Interns will work in a collaborative environment that emphasizes impactful research and technology transfer to product groups. This role offers the opportunity to contribute to cutting-edge advancements in machine learning and deep learning.

• Pursuing a Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field.
• Excellent knowledge of the 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, is required.
• Outstanding research track record with at least one top-tier conference publication.

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

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.