---
title: Research Scientist, Fundamental Generative AI New
description: NVIDIA is hiring for the Research Scientist, Fundamental Generative AI New College
  Grad role. Full-time role. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/research-scientist-fundamental-generative-ai-new-college-grad-at-nvidia-01a0b2fa-1310-7347-92b0-0e58b44dc58f
date: 2026-11-15T01:26:44Z
og_description: Join NVIDIA as Research Scientist, Fundamental Generative AI New College Grad
  in Santa Clara, CA. Pays $168K–$264.5K per year.
og_image: https://www.foundrole.com/og/t6zo63.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
  - label: Search
    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | [NVIDIA](https://www.foundrole.com/companies/nvidia?utm_source=ai_markdown) |
| **Location** | Santa Clara, CA |
| **Salary** | $168K/yr - $264.5K/yr |
| **Type** | Full Time |
| **Posted** | Oct 02, 2026 |

## Is this job real?

**Ghost job check:** A- · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** NVIDIA sponsors H-1B visas. It filed 3,120 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for NVIDIA.

## Pay for similar jobs

Most similar jobs pay $216,000 – $248,000 a year (median $236,000).

## Description

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., GenAI4Science). 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 other objective job-related factors. The expected base salary range for this position is 168,000 USD – 264,500 USD.

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.
## Skills

- Deep Learning
- Python
- Statistics
- Generative AI
- C++
- NVIDIA CUDA
- Computer Science
- Communication
- Generative AI Foundations
- Molecular Dynamics
- Distributed Systems

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