NVIDIA is seeking to advance its leadership in AI and digital twins by tackling complex challenges in generative AI, computer vision, robotics, and other technology domains. The company aims to transform industries and impact society through innovative solutions, with a focus on transferring research to product groups to enable new products.
Requirements
- Python, C++, CUDA, Deep Learning Frameworks (PyTorch, JAX, Tensorflow, etc.)
- Strong background in research with publications at top conferences.
- Experience with large-scale model training is a plus.
- Multimodal Foundation Models
- Diffusion Models
- World Models
- Image, Video, or Audio Generation
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.
Other
- 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.
- Excellent communication and collaboration skills.
