Full-Time
Research Scientist – New College Grad 2024
Efficient Deep Learning
Confirmed live in the last 24 hours
GPU-based accelerated computing solutions
AI & Machine Learning
Entry
Santa Clara, CA, USA
Required Skills
Python
Communications
CUDA
Pytorch
Computer Vision
Requirements
- Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.
- Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.
- Background in pruning, quantization, NAS, efficient backbones, and so on, is expected.
- Experience with large language models and large vision-language models is a plus.
- Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA) is a plus.
- Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.
- Outstanding research track record.
- Excellent communications skills.
Responsibilities
- Research, design and implement novel methods for efficient deep learning.
- Publish original research.
- Collaborate with other team members and teams.
- Mentor interns.
- Speak at conferences and events.
- Work with product groups to transfer technology.
- Collaborate with external researchers.
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