Research Scientist, Fundamental Generative AI - New College Grad 2026

at Nvidia

📍 Santa Clara, United States

USD 168,000-264,500 per year

JUNIOR

✅ On-site

Used Tools & Technologies

GenAI

Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Python @ 3 Statistics @ 3 Machine Learning @ 7 Communication @ 6 Parallel Programming @ 3 PyTorch @ 3 CUDA @ 3 Deep Learning @ 3 Generative AI @ 3 AI @ 3

Details

NVIDIA Research is seeking a generative AI researcher to join the Fundamental Generative AI research team. The team focuses on advancing generative AI methods for biomolecular design (small molecules, proteins, RNA) and other scientific applications (GenAI4Science). The role emphasizes fundamental research, developing novel models, publishing at top venues, and transferring technology to product groups. The position expects a strong mathematical foundation and the ability to analyze and develop novel models while working in a collaborative research environment.

Responsibilities

Research, design, and implement novel, large-scale generative AI methods.
Publish original research and present at conferences and events.
Collaborate with team members, other research teams, and product teams.
Transfer research/technology to product groups.

Requirements

Completing or recently completed a Ph.D. in Computer Science/Engineering, Statistics, or equivalent experience.
Excellent knowledge of the theory and practice of generative AI and machine learning.
Experience building generative models for molecules, molecular dynamics, proteins, RNA, or other scientific data.
Excellent programming skills in prototyping environments such as Python; experience with C++ and parallel programming (e.g., CUDA).
Knowledge of deep learning frameworks such as PyTorch.
Outstanding research track record (publications) and strong communication skills.

Compensation & Benefits

Base salary range: 168,000 USD - 264,500 USD (determined by location, experience, and comparable employee pay).
Eligible for equity and additional benefits (see NVIDIA benefits).

Additional Information

Location: Santa Clara, California, United States.
Employment type: Full time.
Applications accepted at least until February 7, 2026.
NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to diversity.