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AI Research Scientist

NVIDIA· Research Staff Member
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Hybrid (Singapore)full-timePosted 7mo ago

About the role

AI research focused on generative AI models and efficient GPU-accelerated computing, with published research and collaboration across teams, academia, and product groups.

Responsibilities

  • Research, design and accelerate novel generative AI models on NVIDIA GPUs
  • 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 outside NVIDIA

Qualifications

  • PhD degree in computer science or electrical engineering with strong research track records
  • Excellent knowledge of LLM and foundation models
  • Publication at leading conferences (ie. CVPR, ICML, ICLR, ICCV, NeurIPS, MLSys, etc)
  • 4 years of experience
  • Excellent programming skills in Python; C++ and parallel programming (e.g., CUDA) is a plus
  • Knowledge of common machine learning frameworks, such as PyTorch
  • Excellent communication skills

Skills

Required:LLM and foundation modelsPrototyping with PythonPyTorchScientific communicationCollaborative skills
Nice to have:C++ and CUDA
Last updated Jul 3, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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