Job Description

NVIDIA is searching for outstanding AI researchers to join the NVIDIA Research Singapore team. We arededicated 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.

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 (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

More Info

Job Type:

Permanent Job

Industry:

Electronics Manufacturing

Function:

Ai Research

Employment Type:

Full time

Key Skills

LLM and foundation models

Pytorch

Cuda

Python

About Company

Last Updated: 05-10-2026 04:21:25 AM

1-4 yrs

SGD 10,330 - 15,590 per month

Singapore

Skills:

policy development , C, Optimization Algorithms, Tensorflow, Computer Vision, Pytorch, Python, LLMs, control theory, representation learning, 3D egocentric perception, deep learning frameworks, self-supervised learning, multimodal learning, reinforcement learning, Robotics, embodied AI

1-3 yrs

Singapore

Skills:

causal inference , Jax, Pytorch, Neural ODEs, Bayesian deep learning, Foundation model fine-tuning, Graph neural networks, structural causal models, PINNs methodology, Bayesian experimental design, RL for scientific discovery, causal discovery, active learning acquisition function design, diffusion models