NVIDIA 2027 Internships: Ph.D. Research Large Language Models

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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.

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 Intern benefits.

Applications are accepted on an ongoing basis.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.