Senior Research Scientist, Fundamental Generative AI

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.

Summary

Research, design, and implement novel large-scale generative AI methods for biomolecular and scientific applications, publish original research, and transfer technology. Requires a Ph.D. (or equivalent), 2+ years industry or postdoc research experience, expertise in generative AI, experience building generative models for molecules, proteins, or RNA, and strong Python, C++, CUDA, and PyTorch skills.

Responsibilities

Research, design, and implement novel large-scale generative AI methods; publish original research; collaborate with team and product teams; speak at conferences and events; transfer technology to product groups.

Qualifications

Ph.D. in Computer Science/Engineering, Statistics, etc. (or equivalent experience); 2+ years relevant industry or postdoc research experience; excellent knowledge of generative AI theory and practice; experience building generative models for molecules, molecular dynamics, proteins, RNA, or scientific data; excellent programming skills in Python, C++, parallel programming (CUDA); knowledge of deep learning frameworks (PyTorch); outstanding research track record; excellent interpersonal skills.

Education requirements

Ph.D. in Computer Science/Engineering, Statistics, etc. (or equivalent experience)

Experience requirements

2+ years of relevant industry or postdoc research experience

Benefits

Eligible for equity and benefits.