# Ph.D. Research Generative AI Intern

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Job type**: internship
**Salary**: $38 - $94 per hour
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/NVIDIA-2027-Internships--PhD-Research-Generative-AI_JR2023475?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3b623f2b-0fc

## Description

NVIDIA is seeking a Ph.D. research intern to join their Generative AI team.

As a Ph.D. research intern, you will design and implement algorithms that push the boundaries of generative AI, computer vision, robotics, and other technology domains relevant to NVIDIA's business. You will collaborate with other team members, teams, and/or external researchers, and transfer your research to product groups to enable new products or types of products.

To be considered, you 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. Prior experience or knowledge requirements include programming skills in Python, C++, CUDA, and deep learning frameworks such as PyTorch, JAX, or TensorFlow.

The internship hourly rates are $38 - $94 USD, depending on the position, location, year in school, degree, and experience. You will also be eligible for intern benefits.

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.

Requirements:

- Actively enrolled in a Ph.D. program in Computer Science, Electrical Engineering, or a related field.

- Programming skills in Python, C++, CUDA, and deep learning frameworks.

- Strong background in research with publications at top conferences.

- Excellent communication and collaboration skills.

- Experience with large-scale model training is a plus.

Preferred qualifications:

- Research experience in areas such as 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, or partial differential equations (PDEs).

## Skills

### Required
- Python
- C++
- CUDA
- Deep Learning Frameworks
- Computer Science
- Electrical Engineering

### Nice to have
- Multimodal Foundation Models
- Diffusion Models
- World Models
- Image Generation
- Video Generation
- 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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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/NVIDIA-2027-Internships--PhD-Research-Generative-AI_JR2023475?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)