PhD Research Intern, Efficient Deep Learning - 2027

$0k - $0k • Remote • US, CA, Santa Clara

Posted 7d ago

Remote Work Policy

Fully remote

Categories

AI Research Engineer

About the job

NVIDIA is seeking a PhD intern to join the Deep Learning Efficiency Research (DLER) team, focusing on research that pushes boundaries and has real-world impact. The team's core areas include efficient diffusion language and multimodal generative models, as well as efficient agentic AI with hybrid inference orchestration. We are also interested in post-training model optimization, efficient architecture design, adaptive inference, and resource-efficient training and finetuning. You will collaborate with a research team that consistently publishes at top venues, contributing to technologies that can impact NVIDIA's products.

Responsibilities

  • Research, design, and implement novel methods for efficient deep learning in diffusion LLMs, multimodal models, or efficient agentic AI.
  • Explore areas such as sampling efficiency, adaptive unmasking, self-speculation, parallel decoding, training and distillation pipelines for diffusion models.
  • Investigate hybrid inference orchestration, routing and scheduling policies, on-device vs. cloud expert delegation, and resource-aware agent loops for agentic AI.
  • Publish original research findings.
  • Collaborate with internal team members and external researchers.
  • Work with product groups to transfer developed technology.

Requirements

  • Currently pursuing a Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field.
  • Excellent knowledge of machine learning and deep learning theory and practice.
  • Experience with large language models, diffusion language models, multimodal/vision-language models, or agentic systems.
  • Hands-on experience with large-scale model training, including data preparation and model parallelization (tensor and pipeline).
  • Demonstrated outstanding research track record with at least one publication in a top-tier conference (e.g., ICML, ICLR, NeurIPS, CVPR, ICCV).
  • Excellent communication skills.

Benefits

  • Competitive salaries
  • Generous benefits package
  • Internship hourly rates: 38 USD - 94 USD
  • Eligibility for Intern benefits

About nvidia

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