PhD Research Intern, Efficient Deep Learning - 2027
NVIDIA· Intern
Hybrid (Santa Clara, CA), Remote$38/hr - $94/hrinternPosted 2w ago
About the role
PhD intern position on efficient deep learning within NVIDIA's Deep Learning Efficiency Research (DLER) team, focusing on efficient diffusion models, multimodal architectures, and agentic AI with cloud–edge orchestration. Emphasis on research, collaboration, and transfer of technology to products.
Responsibilities
- Research, design, and implement novel methods for efficient deep learning in diffusion LLMs, multimodal models, and/or efficient agentic AI (hybrid inference across cloud and edge).
- Publish original research.
- Collaborate with other team members and teams.
- Work with product groups to transfer technology.
- Collaborate with external researchers.
Qualifications
- Pursuing a Ph.D. in Computer Science/Engineering, Electrical Engineering, or related field
- 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
- 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
Skills
Required:Diffusion LLMs and multimodal modelsLarge-scale model trainingResearch publicationCommunication
Nice to have:CUDA / parallel programming
Benefits
- Intern benefits (see link)
- Intern hourly rate 38 USD - 94 USD
- Competitive salaries and generous benefits package
Last updated Oct 16, 2026. Interested? Apply on the company site.
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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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