Quick Summary
Research,
Excellent knowledge of LLM and foundation models Publication at leading conferences (ie. CVPR, ICML, ICLR, ICCV, NeurIPS, etc) 2 years of experience. Bachelor, master,
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.
Responsibilities
~1 min read- →
Research, design and accelerate novel generative AI models
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Publish original research
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Collaborate with other team members and teams
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Mentor interns
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Speak at conferences and events
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Transfer technology to product groups
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Collaborate with external researchers
Requirements
~1 min readExcellent 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.
Location & Eligibility
About this job
- Posted
- 4 days ago
Listing Details
- First seen
- October 18, 2026
- Last seen
- October 22, 2026
Posting Health
- Days active
- 3
- Repost count
- 0
- Trust Level
- 47%
- Scored at
- October 22, 2026
Signal breakdown
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