About the role#
The Deep Learning Efficiency Research (DLER) team is looking for a PhD intern to research and implement new methods for efficient deep learning. You will focus on two core areas: efficient diffusion language and multimodal generative models, and efficient agentic AI with hybrid inference orchestration across cloud and edge. This role involves working with a collaborative team to publish original research and transfer technology to product groups.
What you'll do#
- Research, design, and implement novel methods for efficient deep learning.
- Work on diffusion LLMs and multimodal models, including sampling efficiency, parallel decoding, and training pipelines.
- Develop efficient agentic AI solutions, focusing on hybrid inference orchestration, routing policies, and resource-aware loops.
- Publish original research and collaborate with team members, product groups, and external researchers.
What you'll need#
- Currently pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Strong knowledge of machine learning and deep learning theory and practice.
- Experience with large language models, diffusion models, multimodal models, or agentic systems.
- Hands-on experience with large-scale model training, including data preparation and model parallelization.
- A research track record that includes at least one publication at a top-tier conference like ICML, ICLR, NeurIPS, CVPR, or ICCV.
- Excellent communication skills.
- Bonus points for experience with parallel programming (CUDA), hybrid cloud-edge inference, or techniques like pruning, quantization, and NAS.
Location & details#
- This is a full-time, paid internship.
- The role is available on-site in Santa Clara, California, or remotely within the United States.
- Applications are accepted on a rolling basis.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
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