- Experience
- 2+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 2 hours ago
- Work mode
- In office
- Education
- Bachelor's degree or higher in Computer Science, Electrical Engineering, or related field
- Resume
- Required to apply
Where you'll work
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Job description
Position Overview
NVIDIA is seeking exceptional AI researchers to join its Research team located in Singapore. The team's mission is to advance GPU-accelerated AI computing with a focus on language models, visual generative models, and robotics. The role centers around pushing generative AI boundaries by creating models that are both highly capable and computationally efficient.
Key Responsibilities
- Conduct research, design, and accelerate innovative generative AI models.
- Publish original scientific research in prominent machine learning, robotics, and computer vision venues.
- Collaborate closely with colleagues and cross-functional teams.
- Provide mentoring to interns and junior researchers.
- Present research findings at industry conferences and public events.
- Facilitate the transfer of developed technology to product teams.
- Engage in collaboration with external researchers and academic institutions.
Requirements
- Strong expertise in large language models (LLM) and foundational AI models.
- Proven track record of publications at major conferences such as CVPR, ICML, ICLR, ICCV, or NeurIPS.
- A minimum of two years of relevant experience in AI research.
- Bachelor's, master's, or PhD degree in computer science, electrical engineering, or a closely related field demonstrating significant research achievements.
- Proficiency in programming languages suited for rapid prototyping, especially Python; knowledge of C++ and parallel programming (especially CUDA) is advantageous.
- Familiarity with state-of-the-art machine learning libraries, particularly PyTorch.
- Excellent verbal and written communication abilities.
About NVIDIA
NVIDIA is globally recognized as one of the most prestigious employers in the technology sector, attracting top-tier talent dedicated to innovation and productivity.
Additional Information
Reference Code: JR2025138
Minimum education
Bachelor's Degree
Skills
Tools & software
How they work
Communication
Teamwork & Collaboration
Leadership
Languages
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