INACTIVE
Internship
Phd Research Intern
Posted on 3/12/2024
GPU-based accelerated computing solutions
AI & Machine Learning
Compensation Overview
$16 - $88Hourly
+ Internbenefits
Remote in USA
Required Skills
Python
Communications
CUDA
Data Structures & Algorithms
Pytorch
Computer Vision
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.
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
NVIDIA is a leading provider of data processing for artificial intelligence, known for pioneering the GPU in 1999, which revolutionized computer graphics and accelerated computing. The company offers data-center-scale solutions that are reshaping various industries and driving the development of the metaverse, utilizing cutting-edge GPU technology.
Company Stage
Grant
Total Funding
$4.2B
Headquarters
Santa Clara, California
Founded
1993
Growth & Insights
Headcount
6 month growth
↑ 6%1 year growth
↑ 15%2 year growth
↑ 18%INACTIVE