Large Language Models Intern - Research

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NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. 

Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading LLM teams. We’re seeking strategic, ambitious, hard-working, collaborative, and creative individuals who are passionate about helping us tackle challenges no one else can solve. 

Learn more about Research at NVIDIA. 

What you will be doing: 

• Research and develop novel methods for advancing the capabilities of large language and multimodal models. 
• Collaborate with other team members, teams, and/or external researchers. 
• Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research. 

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What we need to see: 

• Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered. 
• Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies:  

Python, C++, CUDA, Deep Learning Framworks (PyTorch, Tensorflow, JAX, etc.) 

• Strong background in research with publications at top conferences. 
• Excellent communication and collaboration skills. 
• Experience with large-scale model training is a plus. 

Potential internships require research experience in at least one of the following areas: 

• Large Language Models and Foundation Models 

Transformer architectures 

Knowledge distillation and data synthesis 

Long-context methods 

• Model Efficiency and Optimization 

Model compression and pruning 

Quantization 

Inference optimization and acceleration 

Parameter-efficient fine-tuning 

Neural Architecture Search (NAS) 

• Training and Alignment 

Large-scale model training 

Instruction tuning 

Reinforcement Learning 

Advanced reasoning and test-time inference 

Few-shot and zero-shot learning 

• Synthetic data generation 
• Multimodal and Vision Language Models 
• Retrieval-Augmented Generation (RAG) 

Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors. 

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.

You will also be eligible for Internbenefits. ​

Applications are accepted on an ongoing basis.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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