NVIDIA

Research Scientist

2 LocationsPosted Sep 10, 2026

Requirements at a glance

Research Scientist at NVIDIA is a role based in 2 Locations. The posting mentions 2+ years of experience and a doctorate. It does not mention visa sponsorship. Key skills include Python, C++, Machine learning, and Generative AI. Applications are submitted through Workday.

Experience
2+ years (mentioned)
Education
Doctorate (PhD) (mentioned)
Visa sponsorship
Not mentioned in the posting
Application platform
Workday

Skills in this posting

  • Python
  • C++
  • Machine learning
  • Generative AI
  • PyTorch

Extracted automatically from the job description. Confirm details in the full posting below.


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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