AI Research Scientist
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 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, robotics and computer vision. Your contributions have the chance to create real impact on our products.
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
Excellent knowledge of LLM and foundation models
Publication at leading conferences (ie. CVPR, ICML, ICLR, ICCV, NeurIPS, MLSys, etc)
4 years of experience.
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
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
- Where is this AI Research Scientist role based?
- The role is based in Singapore, Singapore-Suntec Tower.
- What experience does NVIDIA expect for this role?
- The posting is tagged as a executive-level role, typically 10+ years of experience. Check the requirements section for specifics.
- How was this posting sourced?
- This role was pulled directly from NVIDIA's Workday careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
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