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Research Scientist

Role overview

Qualifications

  • Excellent knowledge of LLMs and foundation models
  • Publications at leading conferences (CVPR, ICML, ICLR, ICCV, NeurIPS, etc.)
  • 2 years of experience and a Bachelor, Master, or PhD in computer science or electrical engineering with a strong research track record
  • Proficiency in Python for rapid prototyping; knowledge of C++/CUDA; and familiarity with PyTorch

Responsibilities

  • Research, design and accelerate novel generative AI models
  • Publish original research
  • Collaborate with team members, cross-functional teams, and external researchers
  • Mentor interns and transfer technology to product groups

About the company

NVIDIA logo

NVIDIA

Semiconductors

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Company details

Company typeXLarge
IndustrySemiconductors
Company size10001

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Job description

NVIDIA is searching for outstanding AI researchers to join the NVIDIA Research Singapore team. We are dedicated to the development and optimization of GPU-accelerated efficient AI computing, covering language model, visual generation, and robotics. We focuses on pushing the boundaries of generative AI by designing models that are not only powerful but also efficient in terms of computational resources.

You will be part of an amazing collaborative research team that consistently publishes at the top venues in machine learning, robotics and computer vision. Your contributions have the chance to create real impact on our products.

 

What you'll be doing:

  • 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

 

What we need to see:

  • Excellent knowledge of LLM and foundation models

  • Publication at leading conferences (ie. CVPR, ICML, ICLR, ICCV, NeurIPS, etc)

  • 2 years of experience. Bachelor, master, or PhD degree in computer science or electrical engineering with strong research track records.

  • Excellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA) is a plus

  • Knowledge of common machine learning frameworks, such as PyTorch

  • Excellent communication skills

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. Looking forward to hear from you.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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