Full-Time

Research Scientist – New College Grad 2024

Efficient Deep Learning

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Develops GPUs for AI and computing

AI & Machine Learning

Junior

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 top-tier employer for those inclined towards cutting-edge technology and AI data processing. They are crucial in driving the accelerated computing paradigm with their development of GPU technology, which has fundamentally altered computer graphics and powers data center solutions across multiple industries. This makes them a brand name not just in technology, but also in innovation within digital realms like the metaverse.

Company Stage

Grant

Total Funding

$4.2B

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

9%

1 year growth

18%

2 year growth

19%