Generative AI Research Intern — Fundamental Models

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 52,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA Corporation invites applications for a Research Intern in Fundamentals Generative AI at our Santa Clara campus. You will work with our NVIDIA Research team to explore large-scale generative AI methods, publish results, and collaborate across research and product teams to transfer technology.

Successful candidates are pursuing a PhD and have strong publishing records, with expertise in vision, 3D, NLP, or AI for science, and proficiency in Python and PyTorch; CUDA experience is a plus.

Qualifications

• Pursuing a Ph.D. program in Computer Science/Engineering, Statistics, Electrical Engineering, etc.
• Strong publication record at top ML venues such as NeurIPS, CVPR, ICLR, ICML, ICCV, ECCV, etc.
• Excellent knowledge of the theory and practice of generative AI.
• Strong knowledge of computer vision, 3D, NLP, or AI for science.
• Excellent programming skills in Python; C++ and parallel programming (e.g., CUDA) is a plus.
• Knowledge of common deep learning frameworks, such as PyTorch.
• Excellent communication skills.

Responsibilities

• Research, design, and implement novel, large-scale generative AI methods.
• Publish original research.
• Collaborate with other team members, research teams, as well as product teams.
• Transfer technology to product groups.

Skills

Strong publication record

Python programming

C++

CUDA parallel programming

PyTorch

Excellent communication skills

Education

PhD student in Computer Science/Engineering/Statistics/Electrical Engineering

Tools

CUDA

Job description

NVIDIA Corporation invites applications for a Research Intern in Fundamentals Generative AI at our Santa Clara campus. You will work with our NVIDIA Research team to explore large-scale generative AI methods, publish results, and collaborate across research and product teams to transfer technology.

Successful candidates are pursuing a PhD and have strong publishing records, with expertise in vision, 3D, NLP, or AI for science, and proficiency in Python and PyTorch; CUDA experience is a plus.