Senior Computational Quantum Physicist

Entangled Future; Sherbrooke; On-site; CAD 120,000 - 180,000; Full time

Job summary

You are expected to have deep quantum mechanics and numerical computing expertise, with a track record in high-performance HPC frameworks and scientific software design.

Qualifications

• PhD in physics, math, CS or related field.
• 2a11
• 3+ years in quantum industry or academia.
• Deep expertise in at least one specialization area.
• Strong background in quantum mechanics and numerical computing.
• Ability to formulate complex computational problems.
• Experience validating numerical methods and identifying applicability.
• Experience with high-performance numerical frameworks (JAX, NumPy/SciPy, Julia) and maintainable scientific software.
• Ability to provide technical leadership and mentorship.

Responsibilities

• Lead development of scalable simulation backends for multimode bosonic systems.
• Define technical roadmaps and validate new numerical approaches.
• Collaborate with theorists and compiler teams to shape architecture of the simulation codebase.
• Mentor colleagues and lead research software projects under uncertainty.
• Ensure rigorous validation and documentation of numerical methods.

Skills

Leadership in research

Numerical methods

Quantum computing concepts

HPC programming

Education

PhD in physics / applied mathematics / computer science

Tools

JAX

NumPy/SciPy

Julia

Job description

Senior Computational Quantum Physicist at Nord Quantique, Sherbrooke, QC, Canada. A senior-level full time position in the Engineering team, listed under software engineering.

Our current needs

Our Theory and Simulations team develops the models and numerical tools that connect device physics, quantum-control protocols, error correction, and logical performance. These capabilities guide the design of our hardware and are central to evaluating and improving our quantum computing architecture. We are seeking a Senior Computational Quantum Physicist to lead the development of the next generation of simulation methods for bosonic quantum error correction. Your mission will be to develop scalable, rigorously validated simulation backends that enable higher-energy multimode simulations and reliable estimation of ultra-low logical error rates. Meeting these goals will require new representations and algorithms rather than incremental optimization alone. Promising directions include tensor networks, rare-event sampling, and logical-level or near-Clifford simulation methods. You will help define the technical roadmap, develop and validate new numerical approaches, and shape the architecture of the simulation codebase. You will work closely with other theorists as well as our compiler team. We expect to hire candidates with complementary expertise. You are not expected to specialize in every area described below, but should bring deep expertise in at least one and be able to collaborate effectively across the others.

Specialization tracks

Strong candidates will typically bring depth in one or more of the following areas:

Tensor-network and compressed bosonic simulation

Develop scalable methods for simulating multimode bosonic systems using tensor networks and related compression techniques. Explore their application to larger systems, higher-energy regimes, and both pure- and mixed-state dynamics, while establishing their accuracy, computational advantages, and regimes of applicability.

Requirements

• A PhD in physics, applied mathematics, computer science, or a related field, or equivalent research experience.
• 3+ years of post-graduate experience in quantum industry or academia
• Deep expertise in at least one of the specialization areas described above.
• A strong background in quantum mechanics, numerical physics, scientific computing, or quantum information.
• A demonstrated ability to formulate difficult computational problems and develop new numerical methods to solve them.
• Experience validating approximate numerical methods and identifying their regimes of applicability.
• Experience with high-performance numerical frameworks such as JAX, NumPy/SciPy, Julia, or comparable tools.
• Strong programming skills and experience developing structured, tested, and maintainable scientific software.
• Experience taking leadership of a research or scientific-software project.
• The ability to provide technical leadership, mentor colleagues, and make sound architectural decisions under research uncertainty.