NVIDIA 2027 Internships: Ph.D. Research Generative AI

Socket.dev; Santa Clara (CA); On-site; USD 52,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA is seeking a PhD internship in Santa Clara, CA, focused on advancing generative AI, computer vision, robotics, and related technologies. You will contribute through rigorous research, develop prototypes, and collaborate with multiple teams.

The internship emphasizes strong research background, publications, and ability to communicate and collaborate across disciplines. Applications accepted on an ongoing basis, with hourly compensation in a defined range.

Qualifications

• Active Ph.D. student in CS/EE or related field for full duration of internship.
• Anticipated graduation date must be on resume/CV to be considered.
• Experience with Python, C++, CUDA, and deep learning frameworks preferred.

Responsibilities

• Design and implement algorithms at the intersection of AI, CV, robotics and related domains.
• Collaborate with researchers and team members across groups.
• Transfer research to product teams; deliver prototypes, patents, products, or publications.

Skills

Python

C++

CUDA

Deep Learning Frameworks

Publications

Communication & Collaboration

Large-scale Model Training

Education

Ph.D. in CS/EE or related

Tools

PyTorch

JAX

TensorFlow

Job description

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 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 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)

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.