Senior Research Scientist, Fundamental Generative AI

Posted 2 Days Ago
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Santa Clara, CA, USA
In-Office
192K-305K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Conduct fundamental research on novel large-scale generative AI methods for biomolecular design and other scientific applications. Design, implement, analyze, and publish original models; collaborate with research and product teams; present findings at conferences; and transfer research technology to products. The role requires strong mathematical foundations, scientific generative modeling expertise, advanced programming skills, 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:

  • A Ph.D. in Computer Science/Engineering, Statistics, etc. (or equivalent experience). 2+ years of relevant industry or postdoc research 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 interpersonal 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 researcher 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 192,000 USD – 304,750 USD.

You will also be eligible for equity and 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 Required

  • Ph.D. in Computer Science, Engineering, Statistics, or a related field, or equivalent experience
  • 2+ years of relevant industry or postdoctoral research experience
  • Excellent knowledge of generative AI theory and practice
  • Experience building generative models for molecules, molecular dynamics, proteins, RNA, or other scientific data
  • Strong programming skills in Python or comparable prototyping environments
  • C++ and parallel programming experience, such as CUDA
  • Knowledge of deep learning frameworks such as PyTorch
  • Outstanding research track record
  • Excellent interpersonal and collaboration 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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

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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