Quantum Algorithm Research Scientist Jobs in Markham, Ontario, Canada
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Markham, Ontario, Canada
Quantum Algorithm Research Scientist
About the role
Job Position: Quantum Algorithm Research Scientist
Office Location: 7303 Warden Ave, Markham, ON L3R 5Y6 (Hybrid)
Employment Type: Full‑time, Permanent
Experience Level: Senior Technical
Application Email: careers@superqubit.ai
SuperQubit is building the algorithmic foundation for a new class of physics-informed quantum software, with applications across optimization, materials and molecular simulation, and quantum-enhanced machine learning. We are seeking a Quantum Algorithm Research Scientist to take long-term ownership of our algorithm development pipeline — from theoretical concept through hardware deployment.
This is a senior technical role intended for someone who has completed both a PhD and (ideally) a postdoctoral appointment, or who has equivalent industrial research experience.
Role Overview
The Research Scientist will own the design, implementation, and validation of SuperQubit’s proprietary algorithm portfolio. They will translate physically motivated models of interacting many-body systems into hardware-executable quantum circuits, lead benchmarking and execution campaigns on quantum hardware, and contribute substantively to the company’s technical direction and intellectual property strategy. The role combines deep research with the pragmatism required to ship working software on real devices.
Key Responsibilities
Architect and develop SuperQubit’s algorithm portfolio, including novel approaches for optimization, simulation, and quantum machine learning. Translate theoretical models of correlated, long-range interacting systems into efficient quantum circuit representations with rigorous resource analysis. Lead end-to-end execution on quantum hardware: compilation, noise-aware optimization, error mitigation, and benchmarking against classical and quantum baselines. Contribute to patent disclosures and intellectual property strategy. Establish internal scientific standards, code review practices, and technical documentation. Mentor postdocs and PhD interns; participate in technical hiring. Represent SuperQubit in selected scientific venues, conferences, and partnership discussions with hardware providers and academic collaborators.
Minimum Requirements
PhD in Physics, Quantum Information, Applied Mathematics, Computer Science, or a related discipline, with at least 2 years of additional research experience (postdoctoral, industry research, or equivalent). Substantial publication record in quantum algorithms, quantum simulation, or related areas, including first-author work. Demonstrated expertise in many-body quantum physics, fermionic and bosonic systems, and the mathematics of interacting quantum systems. Deep practical knowledge of Hamiltonian simulation, fermionic encodings, and circuit compilation for noisy and near-term hardware. Documented track record of running quantum algorithms on multiple real hardware platforms (e.g., superconducting, trapped-ion, neutral-atom). Advanced Python proficiency and fluency with at least two quantum programming frameworks (Qiskit, PennyLane, Cirq, Braket). Strong understanding of error mitigation, error correction primitives, and the trade-offs of NISQ-era execution. Must reside in or be willing to relocate to the Greater Toronto Area.
Preferred Qualifications
Existing relationships with hardware providers (IBM Quantum, IonQ, Quantinuum, Rigetti, PsiQuantum, etc.).
Background in correlated electron systems, condensed matter theory, or post–Hartree-Fock quantum chemistry.
Experience with classical many-body simulation tools (tensor networks, DMRG, quantum Monte Carlo) as a baseline for quantum advantage analysis.
Prior experience leading research teams or projects in an industrial or national-lab setting.
Patent or invention disclosure history.
Experience designing physics-informed quantum machine learning methods, including kernel methods, quantum feature maps, or generative models grounded in physical priors.
Familiarity with HPC environments and large-scale classical simulation infrastructure.
How to Apply
Interested candidates should submit a CV, a research and vision statement (max three pages), and the names of three references.
About SuperQubit Inc.
𝗦𝘂𝗽𝗲𝗿𝗤𝘂𝗯𝗶𝘁 𝗜𝗻𝗰. — 𝗦𝗰𝗮𝗹𝗲 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝘄𝗶𝘁𝗵 𝗤𝘂𝗮𝗻𝘁𝘂𝗺
SuperQubit develops advanced quantum and artificial intelligence systems engineered for scalable, real-world applications across enterprise, infrastructure, and next-generation computing.
The quantum era is arriving on uneven ground. We build the layer that brings it level — delivering the software, and where it matters the hardware, that prepares organizations for what comes next.
Our work spans three converging pillars, unified by one integrated platform: 🔹 𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 — Combining quantum and classical computing, augmented by AI, to solve real-world optimization and simulation challenges. 🔹 𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 — Protecting data and communications from present-day and future quantum threats through layered, adaptive cryptography that blends classical and quantum-resistant methods. 🔹 𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗧𝗲𝗹𝗲𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 — Building channels that are provably secure against any computational threat, including future quantum computers of unknown power. We believe quantum systems naturally encode the complexity of real-world problems, letting quantum computers simulate nature in ways classical machines cannot. By drawing on frameworks like group theory — the mathematical language of the universe — we design quantum-native algorithms that unlock new possibilities in simulation, optimization, and discovery. Our solutions serve startups, enterprises, and research organizations across finance, healthcare, cybersecurity, logistics, manufacturing, energy, and education — driving efficiency and unlocking possibilities classical technology cannot reach. 📍 Headquartered in Markham, Ontario, Canada 🌐 superqubit.ai ✉️ Reach out for a free consultation. #QuantumComputing #QuantumCybersecurity #AI #PostQuantum #DeepTech