Senior Research Scientist, Fundamental Generative AI

NVIDIA Corporation; Santa Clara (CA); On-site; USD 192,000 - 305,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Research is seeking a world-class generative AI researcher to join the fundamental generative AI research team in Santa Clara. The role focuses on developing groundbreaking GenAI methods for biomolecular design and other scientific applications, with the freedom to pursue high-impact ground-breaking work.

You will collaborate across teams, publish in top venues, and present at conferences while transferring technology to product groups. A Ph.D.

Qualifications

• PhD in Computer Science/Engineering or related field
• 2+ years of relevant industry or postdoc research experience
• Excellent knowledge of the theory and practice of generative AI
• Experience building generative models for molecules, proteins, RNA, or other scientific data
• Excellent programming skills in Python; C++ and parallel programming (CUDA)
• Knowledge of deep learning frameworks such as PyTorch
• Outstanding research track record
• Excellent interpersonal skills

Responsibilities

• 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

Skills

Generative AI

Python

CUDA

PyTorch

Communication

Education

Ph.D. in Computer Science/Engineering

Tools

PyTorch

CUDA

Python

Job 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:

• 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

• 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 April 6, 2026.

This posting is for an existing vacancy.

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