Full-Time

Research Scientist – New College Grad 2024

Efficient Deep Learning

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

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

6 month growth

6%

1 year growth

15%

2 year growth

18%