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.

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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.

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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.

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What you will be doing:

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• 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.

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What we need to see:

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• 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 could include 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.

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

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• 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)

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