AI Research Scientist

NVIDIA Gruppe

Singapore

On-site

SGD 102,158 - 153,237

Full time

14 days+
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Job summary

NVIDIA Gruppe is seeking outstanding AI researchers to join their Research Singapore team. This position involves developing and optimizing GPU-accelerated AI computing with a focus on generative AI. You will collaborate with a top-tier research team and have opportunities to publish significant work in machine learning and robotics.

The ideal candidate will have a PhD in computer science or electrical engineering, excellent programming skills, a strong research background, and the ability to communicate effectively. Join us in making a real impact!

Qualifications

  • 4 years of experience in relevant fields.
  • Strong research track records in AI.
  • Experience in rapid prototyping environments.

Responsibilities

  • Research, design and accelerate novel generative AI models on NVIDIA GPUs.
  • Publish original research.
  • Mentor interns and speak at conferences.

Skills

Excellent knowledge of LLM and foundation models
Publication at leading conferences
Excellent programming skills in Python
Knowledge of machine learning frameworks like PyTorch
Excellent communication skills

Education

PhD degree in computer science or electrical engineering

Tools

Python
C++
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 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. 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

Looking forward to hear from you

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