Inactive
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NVIDIA

Designs the chips and software that power AI

Research Scientist New Grad - Fundamental Generative AI

AI ResearchPosted on May 16
Full-timeSanta Clara, CA, USAIn-person

About the Job

Requirements

  • Completing or recently completed a Ph.D. in Computer Science/Engineering, Statistics, etc. (or equivalent experience)
  • Excellent knowledge of the theory and practice of generative AI.
  • Experience in building generative models for image, 3D, video, multimodal, weather, biology, chemistry, or material science data.
  • Excellent programming skills in some prototyping environments such as Python; C++ and parallel programming (e.g., CUDA).
  • Knowledge of deep learning frameworks, such as PyTorch.
  • Outstanding research track record.
  • Excellent communication skills.

Responsibilities

  • Research, design, and implement novel, large-scale generative AI methods.
  • Publish original research.
  • Collaborate with team members, research teams, as well as product teams.
  • Speak at conferences and events.
  • Transfer technology to product groups.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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