Senior Staff Scientist (Quantum for AI-Accelerated Materials Discovery)

Skillhub Solutions Inc.; Toronto; On-site; CAD 150,000 - 180,000; Full time

Job summary

The University of Toronto's Acceleration Consortium is seeking a Senior Staff Scientist to develop and apply quantum algorithms for AI-accelerated materials and molecule discovery. You will collaborate with scientists and software engineers in the Consortium's AI and automation lab. Position is full-time on the St.

George campus in Toronto. Salary ranges CA$150,000–CA$180,000 per year, depending on experience.

Qualifications

• PhD in physics, chemistry, materials science, computer science, quantum information, or a related quantitative field.
• 10+ years of research and development experience with quantum algorithms, simulation, and HPC.
• Experience with Python and machine-learning frameworks; familiarity with Qiskit and Git/GitHub.
• Strong publication record and proficient written/oral English communication.

Responsibilities

• Evaluate and develop quantum simulation and quantum AI algorithms, and create software packages linking quantum tools with classical chemistry workflows.
• Design hybrid workflows combining machine learning, AI surrogates, quantum chemistry, and first-principles calculations.
• Support laboratory operations, including equipment selection, budgets, lab access, and technician coordination.
• Co-lead research programs and industry-partner projects; supervise researchers and coordinate with product managers.
• Prepare research proposals, reports, conference presentations, and peer-reviewed manuscripts.

Skills

Python programming

Machine learning frameworks

Quantum algorithms

Education

PhD in physics, chemistry, materials science, CS, or quantum information

Tools

Qiskit

Git/GitHub

Job description

Senior Staff Scientist (Quantum for AI-Accelerated Materials Discovery)

University of Toronto

Toronto, ON Full-time CA$150,000 - CA$180,000 / year

About the role

The University of Toronto's Acceleration Consortium is hiring a Senior Staff Scientist to develop and apply quantum algorithms and hybrid quantum-classical methods for AI-accelerated materials and molecule discovery. The role works with scientists and software engineers in the Consortium's AI and automation lab.

Responsibilities

• Evaluate and develop quantum simulation and quantum AI algorithms, and create software packages that connect quantum tools with classical chemistry workflows.
• Design hybrid computational workflows combining machine learning, AI surrogates, quantum chemistry, and first-principles calculations.
• Support laboratory operations, including equipment selection and procurement, budgets, lab access, and coordination of laboratory technicians.
• Co-lead research programs and industry-partner projects, supervise research staff and trainees, and coordinate with product managers.
• Prepare research proposals, reports, conference presentations, and peer-reviewed manuscripts.

Qualifications

• PhD in physics, chemistry, materials science, computer science, quantum information, or a related quantitative field.
• More than 10 years of research and development experience, including experience with quantum algorithms, quantum or atomistic simulation, and high-performance computing.
• Experience with Python, scientific computing or machine-learning frameworks, and tools such as Qiskit and Git/GitHub.
• Strong publication record and effective written and oral English communication skills.

Location: St. George campus, Toronto, Ontario. Schedule: Full-time. Salary: $150,000–$180,000 annually, based on skills and experience. Application deadline: January 8, 2027 at 11:59 p.m. ET.