AI Research Scientist

NVIDIA; Singapore; On-site; SGD 100,000 - 130,000; Full time

Job summary

A technology company focused on AI is seeking outstanding AI researchers to join their Singapore Research team. You will research and design generative AI models, publish original works, and collaborate with team members as well as external researchers. A PhD in computer science or electrical engineering is required, along with experience in AI research and knowledge of LLM and machine learning frameworks. This role provides an excellent platform to make impactful contributions to AI products.

Qualifications

• 4 years of experience in AI research with strong publication records.
• Experience in rapid prototyping environments.
• Excellent understanding of generative AI models.

Responsibilities

• Research, design and accelerate novel generative AI models.
• Publish original research in top venues.
• Collaborate with team members and external researchers.

Skills

Knowledge of LLM and foundation models

Excellent communication skills

Programming skills in Python

Knowledge of PyTorch

Education

PhD in computer science or electrical engineering

Tools

CUDA

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 models, 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. 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.

What You'll Be Doing

• 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

What We Need To See

• Excellent knowledge of LLM and foundation models
• Publication at leading conferences (e.g., CVPR, ICML, ICLR, ICCV, NeurIPS, MLSys)
• 4 years of experience
• PhD degree in computer science or electrical engineering with strong research track records
• Excellent programming skills in a 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