Research Scientist, Fundamental Generative AI - New College Grad 2026

Posted Yesterday
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Santa Clara, CA, USA
In-Office
168K-265K Annually
Entry level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Conduct fundamental research on novel large-scale generative AI methods, particularly for biomolecular and scientific applications. Design and implement models, publish original research, collaborate with research and product teams, present at conferences, and transfer technology to products. The role requires strong mathematical foundations, generative AI expertise, scientific data modeling experience, programming skills, deep learning framework knowledge, and a strong research record.
Summary Generated by Built In

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 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 October 6, 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 Required

  • Completing or recently completed a Ph.D. in Computer Science, Computer Engineering, Statistics, or an equivalent field
  • Excellent knowledge of generative AI theory and practice
  • Experience building generative models for molecules, molecular dynamics, proteins, RNA, or other scientific data
  • Excellent programming skills in Python or similar prototyping environments
  • C++ and parallel programming experience, such as CUDA
  • Knowledge of deep learning frameworks such as PyTorch
  • Outstanding research track record
  • Excellent communication skills

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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