PhD Research Intern, Quantum and AI for Chemistry - 2027

NVIDIA
Toronto
Workplace: OnsiteFull timeCAD 77 - 99 hourlyFunction: Research & Scientific (R&D)Education: phdSkills: ["Communication","Research","Ability to articulate value proposition","Technical communication"]

Work on NVIDIA’s Quantum and Chemistry Research team to advance AI-driven quantum algorithms, generative models for chemistry, self-driving lab robotics, and agentic AI systems for computational chemistry. Collaborate to develop state-of-the-art research approaches, including applications of multi-GPU architectures and near-term quantum computers. Share results by presenting at scientific, technical, and industry conferences.

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NVIDIA
NVIDIA
1 day ago

PhD Research Intern, Quantum and AI for Chemistry - 2027

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Last checked: 20 hours agoStatus: Live

Job Summary

Work on NVIDIA’s Quantum and Chemistry Research team to advance AI-driven quantum algorithms, generative models for chemistry, self-driving lab robotics, and agentic AI systems for computational chemistry. Collaborate to develop state-of-the-art research approaches, including applications of multi-GPU architectures and near-term quantum computers. Share results by presenting at scientific, technical, and industry conferences.
Location: Toronto
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Advance AI-driven quantum algorithms, generative models for chemistry, self-driving labs, or agentic AI.
  • •Develop quantum and chemistry research capabilities at the interface of AI and many-body physics/quantum chemistry.
  • •Present research findings at relevant scientific, technical, and industry conferences.

Pay and Benefits

Salary: CAD 77 - 99 hourly

Key Requirements

  • •Pursuing a PhD in Chemistry, Physics, Computer Science, Applied Mathematics, Engineering, or a related engineering field.
  • •Background in Quantum Information Science or AI for chemistry, with expertise in quantum chemistry, quantum machine learning, applied quantum algorithms, robotics for self-driving labs, generative models for chemistry, or computational agentic frameworks.
  • •Research experience in a graduate setting in the relevant topics.
  • •World-class communication skills, including the ability to articulate value to technical and non-technical audiences.
Experience:Quantum information scienceAI for chemistryQuantum chemistryMachine learningHigh-performance computingDeep learning
Education:PhD / Doctorate in Chemistry, Physics, Computer Science, Applied Mathematics, Engineering (or related engineering field)
Skills:CommunicationResearchAbility to articulate value propositionTechnical communication
Tech Stack:AIQuantum algorithmsGenerative modelsMachine learningQuantum machine learningDeep learningGPU computingMulti GPU architecturesRoboticsSelf-driving labsAgentic AIComputational chemistryHigh-performance computingScientific computingLarge-scale AI modelsQuantum computers

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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