NVIDIA 2026 Internships: PhD Generative AI Research - US
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Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 3 Algorithms @ 3 TensorFlow @ 3 Communication @ 3 PyTorch @ 3 CUDA @ 3Details
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 Generative AI teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. By submitting your resume, you’re expressing interest in one of our 2026 Generative AI focused Research Internships. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.
Learn more about Research at NVIDIA: https://www.nvidia.com/en-us/research/
Responsibilities
- 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.
Requirements
- 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.
- Strong background in research with publications at top conferences.
- Excellent communication and collaboration skills.
- Depending on the internship, prior experience or knowledge requirements could include programming skills and technologies such as: Python, C++, CUDA, and deep learning frameworks (PyTorch, JAX, TensorFlow, etc.).
- 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/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).
Compensation and Logistics
- Internship hourly rates: 30 USD - 94 USD (standard pay based on position, location, year in school, degree, and experience).
- Applications are accepted on an ongoing basis.
- NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.
- Intern benefits information: https://www.nvidia.com/en-us/benefits/interns/
Benefits
- Eligible for intern benefits as described on NVIDIA's intern benefits page.
- Opportunity to work with industry-leading research teams and transfer research into product groups, prototypes, patents, and publications.