×
Register Here to Apply for Jobs or Post Jobs. X
More jobs:

Research Scientist, Fundamental Generative AI - College Grad

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: NVIDIA
Full Time position
Listed on 2026-02-08
Job specializations:
  • Research/Development
    Data Scientist
Salary/Wage Range or Industry Benchmark: 168000 - 264500 USD Yearly USD 168000.00 264500.00 YEAR
Job Description & How to Apply Below
Position: Research Scientist, Fundamental Generative AI - New College Grad 2026

NVIDIA is searching for a world-class generative AI researcher to join the fundamental generative AI research team at NVIDIA Research. We strive for research that pushes boundaries and builds the next generation of generative models but also has an impact on the world. We are interested in advancing generative AI methods for biomolecular design, including small molecule, protein, and RNA design, as well as other scientific applications (i.e., GenAI4

Science). You are expected to have a strong mathematical foundation and be capable of analyzing and developing novel models. The position will focus on fundamental research, with the freedom and bandwidth to conduct ground-breaking research. You will work within an amazing and collaborative research team that consistently publishes at the top venues in machine learning and AI for science. You will be empowered to make contributions that create real-world impact.

What

You ll Be Doing
  • Research, design, and implement novel, large-scale generative AI methods.
  • Publish original research.
  • Collaborate with team members, research teams, as well as product teams.
  • Speak at conferences and events.
  • Transfer technology to product groups.
What We Need To See
  • Completing or recently completed a Ph.D. in Computer Science/Engineering, Statistics, etc. (or equivalent experience)
  • Excellent knowledge of the theory and practice of generative AI.
  • Experience in building generative models for molecules, molecular dynamics, proteins, RNA, or other scientific data.
  • Excellent programming skills in some prototyping environments such as Python; C++ and parallel programming (e.g., CUDA).
  • Knowledge of deep learning frameworks, such as PyTorch.
  • Outstanding research track record.
  • Excellent communication skills.

We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you re a creative and autonomous engineer with a real passion for computer architecture and technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

#J-18808-Ljbffr
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary