PhD Research Intern, Quantum and AI for Chemistry - 2027

Nvidia
Canada, Toronto2026-09-16onsite

About the job

NVIDIA’s Quantum and Chemistry Research team is seeking Molecular AI and Quantum Research Interns to work in our newly-formed Quantum and Chemistry Research team led by Alán Aspuru-Guzik. The Quantum and Chemistry Research team explores novel approaches to integrate world-class NVIDIA multi GPU architectures with state-of-the-art and near-term quantum computers We also study how to develop new AI models for chemistry as well as agentic systems for computational chemistry. We are interested in robotics for self-driving labs as well. The Quantum and Chemistry Research Scientist will help develop either of:

Quantum algorithms at the interface of artificial intelligence and many-body physics models such as quantum chemistry.

Generative models for chemistry

Self-driving lab robotics capabilities

Agentic AI systems for computational chemistry

Responsibilities

Advance the state-of-the-art of AI-driven quantum algorithms, generative models for chemistry, self-driving labs, or agentic AI.

Present at relevant scientific, technical and industry conferences.

Qualifications

Minimum

Pursuing a PhD Degree in Chemistry, Physics, Computer Science, Applied Mathematics, Engineering, or related engineering field.

Background in Quantum Information Science, or AI for chemistry with expertise in one of the following: quantum chemistry, quantum machine learning, or applied quantum algorithms, robotics for self-driving labs, generative models for chemistry, or computational agentic frameworks.

Research experience in a graduate setting in any of the topics above.

World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences.

Preferred

Background with GPU computing.

Experience in software systems development.

Experience in Machine Learning methods.

Experience scaling or optimizing large-scale AI models.

Hands-on experience in scientific computing, high-performance computing, applied machine learning, or deep learning.