Research Scientist, Fundamental Generative AI - New College Grad 2026
at Nvidia
USD 168,000-264,500 per year
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 7
CUDA @ 3
Communication @ 3
Deep Learning @ 3
GenAI
Generative AI @ 7
Parallel Programming @ 3
PyTorch @ 3
Python @ 3
Statistics @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking a generative AI researcher to join the fundamental generative AI research team at NVIDIA Research. The team develops next-generation generative models with applications in biomolecular design, including small molecules, proteins, and RNA, as well as other scientific applications in GenAI4Science. The role focuses on fundamental research, novel model development, and research with real-world impact.
Responsibilities
- Research, design, and implement novel, large-scale generative AI methods.
- Publish original research.
- Collaborate with team members, research teams, and product teams.
- Speak at conferences and events.
- Transfer technology to product groups.
Requirements
- Completing or recently completed a Ph.D. in Computer Science, Computer Engineering, Statistics, or a related field, or equivalent experience.
- Excellent knowledge of the theory and practice of generative AI.
- Experience building generative models for molecules, molecular dynamics, proteins, RNA, or other scientific data.
- Excellent programming skills in prototyping environments such as Python.
- Experience with C++ and parallel programming, such as CUDA.
- Knowledge of deep learning frameworks such as PyTorch.
- Outstanding research track record.
- Excellent communication skills.
Benefits
- Base salary range of $168,000-$264,500 USD, determined based on location, experience, and pay for similar positions.
- Eligibility for equity and benefits.
- NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.
Applications will be accepted at least until February 7, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
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