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Internship

PhD Research Intern, Computer Vision (Perception & Rendering) - Summer 2024

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NVIDIA

22d ago

🚀 Summer Internship

Santa Clara

💻 Remote

AI generated summary

  • The candidate must be pursuing a PhD in computer science/engineering or electrical engineering, with excellent knowledge of computer vision methods, deep learning, and expertise in areas such as 3D computer vision, optical/scene flow, image-based modeling/rendering, or neural rendering. They should have strong programming skills in Python, with familiarity in C++ and parallel programming as a plus. Knowledge of machine learning frameworks and a proven publication record in top-tier conferences, along with excellent communication and analytical skills, are also required.
  • The candidate will work as a PhD research intern at NVIDIA, where they will be responsible for implementing cutting-edge computer vision methods, developing novel deep learning algorithms, publishing research, collaborating with teams and external researchers, and speaking at conferences and events.

Summer Internship

Research & Development, DataSanta Clara

Description

  • NVIDIA is searching for computer vision and deep learning students with expertise in the broad area of low-level computer vision (depth/3D, correspondences, optical/scene flow, etc.) and image-based modeling/rendering to join for an internship. We are passionate about research that pushes boundaries, but also has impact in the real world. Our interns regularly publish their internship works in top-tier conferences in computer vision and graphics. We have many experienced mentors in the team and our interns often choose to return for another internship.

Requirements

  • Pursuing a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc.
  • Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.
  • Expertise in one of more of the following areas: 3D computer vision, Optical/scene flow, Image-based modeling/rendering, or Neural rendering
  • Excellent programming skills in some rapid prototyping environment such as Python. C++ and parallel programming (e.g., CUDA) is a plus.
  • Knowledge of common machine learning frameworks, such as PyTorch.
  • Proven track record of publication in top-tier conferences.
  • Excellent communications and analytical skills.

Education requirements

PhD

Area of Responsibilities

Research & Development
Data

Responsibilities

  • Reproduce existing state-of-the-art computer vision methods
  • Research, design, and implement novel deep learning algorithms to push the state of the art in computer vision
  • Publish original research
  • Collaborate with other team members and teams
  • Speak at conferences and events
  • Collaborate with external researchers and engineers

Details

Work type

Full time

Work mode

remote

Location

Santa Clara