Research Scientist - AI

NVIDIA; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

NVIDIA Research Singapore invites outstanding AI researchers to join its team focused on efficient GPU-accelerated generative AI, covering language models, visual generation, and robotics. You will design, train, and accelerate novel models while publishing original research and mentoring interns.

The role requires a strong publication record, a PhD or MS/PhD with a solid research background, and excellent Python skills; CUDA/parallel programming is a plus.

Qualifications

• PhD or MS/PhD with strong research record in AI.
• Excellent publications at top AI/ML conferences.
• Proficient in Python; CUDA is a plus.
• Experience with PyTorch and large-scale models.

Responsibilities

• Design and optimize novel generative AI models.
• Publish and present research findings.
• Collaborate across teams and mentor interns.
• Transfer research to product groups.

Skills

LLM knowledge

Publication record

Python

CUDA

Communication skills

Education

PhD in CS/EE with research track

Tools

PyTorch

Job description

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 focus on pushing the boundaries of generative AI by designing models that are not only powerful but also efficient in terms of computational resources.

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)
• 3+ 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