Job Description
A second opening in NVIDIA Research Singapore asks for a Ph.D. and about four years of experience: an AI research scientist to design and accelerate generative AI models on NVIDIA GPUs. The team covers language models, visual generation and robotics, and this post also lists MLSys among its target venues, which points to systems-minded researchers.
At a glance
- Team: NVIDIA Research Singapore
- Location: Singapore (Suntec Tower)
- Qualification: Ph.D. in computer science or electrical engineering, 4 years of experience
- Apply: open until filled (re-checked 14 October 2026)
What you would do
- Research, design and accelerate generative AI models on NVIDIA GPUs
- Publish original research and speak at conferences and events
- Mentor interns and collaborate with researchers inside and outside NVIDIA
- Transfer technology to product groups
Why this role matters
This is a senior research post in NVIDIA’s growing Singapore team, aimed at Ph.D. holders who combine machine learning with systems thinking. Work on faster and cheaper generative models on GPUs connects research papers directly with NVIDIA’s software stack, and Singapore offers a strong base for AI research in Asia.
What NVIDIA is looking for
- A Ph.D. in computer science or electrical engineering with a strong research record
- About 4 years of experience
- Excellent knowledge of LLMs and foundation models
- Publications at venues such as CVPR, ICML, ICLR, ICCV, NeurIPS or MLSys
- Strong Python and PyTorch skills
Nice to have
- C++ and CUDA or other parallel programming
Pay and location
NVIDIA does not list pay in this Singapore posting.
How to apply
Apply through the official NVIDIA job posting. NVIDIA’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 14 October 2026. Check the posting for location and work-authorisation details before you apply.
See all our artificial intelligence jobs, or browse more research jobs on ResearchJobs.in.
Hiring institution: NVIDIA
Official advertisement: nvidia.wd5.myworkdayjobs.com
How to prepare for this application
- Systems plus ML: MLSys-style work on efficient training or inference fits well.
- GPU acceleration: show models you made run faster on GPUs.
- Research record: lead with your strongest papers.
- Two openings: NVIDIA Singapore has a similar post open to non-Ph.D. candidates.
About NVIDIA Research
NVIDIA Research is the company's research organisation, working on AI, graphics, robotics and circuits, and publishing at top conferences. Researchers work with product teams to move new ideas into NVIDIA's GPUs, systems and software.