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NVIDIA

Designs the chips and software that power AI

Research Scientist

AI ResearchConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedHybrid

About the Job

Requirements

  • Excellent knowledge of large language models and foundation models.
  • Publication record at leading conferences such as CVPR, ICML, ICLR, ICCV, and NeurIPS.
  • Two years of experience.
  • Bachelor's, master's, or PhD degree in computer science or electrical engineering, with a strong research track record.
  • Excellent programming skills in a rapid prototyping environment such as Python; C++ and parallel programming such as CUDA are a plus.
  • Knowledge of common machine learning frameworks such as PyTorch.
  • Excellent communication skills.

Responsibilities

  • Research, design, and accelerate novel generative AI models.
  • Publish original research.
  • Collaborate with other team members and teams.
  • Mentor interns.
  • Speak at conferences and events.
  • Transfer technology to product groups.
  • Collaborate with external researchers.

Desired Qualifications

  • C++ and parallel programming such as CUDA are a plus.

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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