AI Research Intern
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
Very high value owing to the prestigious employer and potential for impactful contributions in AI research.
- High potential for impactful work in AI technology
- Chance to collaborate with a leading tech company
- Contributions to pioneer research at NVIDIA
- Best suited for skilled graduate students
Pros
- Opportunities for publishing original research
- Engagement with cutting-edge AI technologies
- Access to a collaborative and innovative team environment
Cons
- Intense competition for the internship positions
- High expectations for contributions and results
- Less focus on internship compensation details
Who it's for
Advanced graduate student • Remote
Good fit
- PhD students with strong research backgrounds
- Those interested in efficient AI model development
- Researchers eager to contribute to high-impact technology
Not recommended for
- Candidates without substantial AI research experience
- Students not pursuing advanced degrees
- Applicants uninterested in collaboration
Motivation fit
Key skills
About the job
NVIDIA is searching for outstanding AI researchers to join the NVIDIA Research Singapore team for internship. 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 systems, 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
- Speak at conferences and events
- Transfer technology to product groups
What we need to see:
- Excellent knowledge of LLM and foundation models
- Publication at leading conferences (ie. CVPR, ICML, ICLR, ICCV, NeurIPS, etc)
- Pursuing a 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
- Familiar with machine learning frameworks.
- 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.
