About the role

AI Research Scientist exploring quantum advantage in AI applications for real-world problems. Collaborating across disciplines to develop innovative solutions at Thales in Montreal.

Responsibilities

Conduct research in quantum computing and quantum algorithms to explore quantum advantage for complex, real-world problems.
Work on multidisciplinary projects spanning areas such as optimization, signal processing, and machine learning.
Develop proof-of-concept implementations on both quantum simulators and real quantum hardware to validate theoretical models and assess practical feasibility.
Collaborate with cross-functional engineering teams to translate research breakthroughs into deployable prototypes and production-ready systems.
Publish research findings in relevant and top-tier conferences and journals, and contribute to innovation and patent filings.
Communicate effectively with both technical and non-technical stakeholders.
Exercise good judgment in selecting methods and techniques to obtain improved solutions.
Build strong collaborations with academic and research organizations (e.g., NSERC, MITACS) and with industrial partners.
Elicit, collect, and synthesize system requirements from stakeholders and help shape effective research and innovation roadmaps.

Ph.D. or master’s degree in quantum computing, quantum algorithms, or a closely related field, combined with practical experience addressing real-world problems.
Solid theoretical knowledge of quantum computing fundamentals and principles, including quantum algorithms, quantum error correction, and quantum machine learning.
Experience applying quantum approaches to NP-hard optimization problems for large-scale graph problems in communications networks or other relevant real-world applications.
Experience with quantum computing frameworks such as Qiskit, Pasqal, or other neutral-atom-based quantum technologies.
Strong knowledge of artificial intelligence and machine learning techniques, with experience in ML frameworks such as PyTorch, TensorFlow, and scikit-learn; proficiency in programming languages such as Python and C++.
Proven experience designing and executing experiments, refining models, performing optimization, and conducting data analysis.
Critical thinker with the ability to communicate scientific work clearly and effectively.
Excellent problem-solving skills with creative and strategic thinking.
Strong communication and teamwork skills.
Fluency in English (spoken and written).

Supplemental health benefits paid by the company, dental coverage, a health spending account, a life insurance plan, accidental death and dismemberment insurance, short-term disability insurance, travel insurance, an employee assistance program, and a wellness program.
Retirement savings plans (RRSP, RRCD, TFSA) with employer contributions and matching to an RRCD, with no vesting period.
Paid company holidays, paid vacation days, and paid sick leave.
Discounts on home and auto insurance.