Expoint – all jobs in one place
המקום בו המומחים והחברות הטובות ביותר נפגשים
Limitless High-tech career opportunities - Expoint

Nvidia NVIDIA Internships PhD Generative AI Research 
United States, California 
411893339

Today
US, CA, Santa Clara
time type
Full time
posted on
Posted 6 Days Ago
job requisition id

your resume,expressing interest in one of our 2026 Generative AI focused Research Internships.review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.

society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.

Learn more about

What you will be doing:

  • Design and implement algorithms that push the boundaries of generative AI, computer vision, robotics, and other technology domains relevant to NVIDIA’s business.

  • 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 PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship.

  • Depending on the internship, prior experience or knowledge requirements couldinclude the following programming skills and technologies:

  • Python, C++, CUDA, Deep Learning Frameworks (PyTorch, JAX,Tensorflow, 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:

  • Multimodal Foundation Models

  • Diffusion Models

  • World Models

  • Image, Video, or Audio Generation

  • Large Language Models

  • Vision-Language Models

  • Action-Based Transformers

  • Long Context Methods

  • Physics-Based Simulation

  • Flow Based Generative Models

  • Synthetic Data Generation

  • AI for Science

  • Protein/Molecule Generation

  • Climate Modeling and Weather Forecasting

  • Partial Differential Equations (PDEs)

and other helpful student resources related to our latest technologies and endeavors.

You will also be eligible for Intern

Applications are accepted on an ongoingbasis.NVIDIA