Generative Video & Vision Research Intern

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

Benefits offered by this job

Intern benefits

Competitive hourly pay

Job summary

NVIDIA Corporation is seeking an outstanding computer vision and deep learning intern researcher to join the spatial intelligence lab in Santa Clara, CA. The role centers on advancing generative AI for videos, reconstruction, simulation, and video understanding while producing publishable research.

Ideal candidates are current second-year or higher PhD students in CS/Engineering/Mathematics with a strong publication record (CVPR/ICC CV/ECCV/NeurIPS/ICML/ICLR) and proficiency in Python, C++,

Qualifications

• Must currently be a second-year PhD student in CS/Engineering/Mathematics.
• Excellent knowledge of theory and practice of computer vision methods and deep learning.
• Excellent programming skills in Python; C++ and parallel programming (CUDA).
• Knowledge of PyTorch and common ML frameworks.
• Outstanding research track record with publications in top venues (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR).
• Excellent communication skills and familiarity with Git.

Responsibilities

• Research, design and implement methods for generative AI for videos, reconstruction, simulation, and video understanding.
• Publish original research at the end of the internship.
• Collaborate with team members, other teams and external researchers.

Skills

Computer Vision

Deep Learning

Python

C++

CUDA

PyTorch

Communication

Git

Git

Communication

Education

PhD student (2nd year or higher) in Computer Science/Engineering/Mathematics

Computer Science/Engineering

Mathematics

Tools

CUDA

Git

Git

Job description

NVIDIA Corporation is seeking an outstanding computer vision and deep learning intern researcher to join the spatial intelligence lab in Santa Clara, CA. The role centers on advancing generative AI for videos, reconstruction, simulation, and video understanding while producing publishable research.

Ideal candidates are current second-year or higher PhD students in CS/Engineering/Mathematics with a strong publication record (CVPR/ICC CV/ECCV/NeurIPS/ICML/ICLR) and proficiency in Python, C++,