Quantum Information Scientist (Quantum Modeling)

Location: Hybrid in Massy or Paris, Île-de-France, France

Company

hirify.global develops photonic quantum computers and full-stack quantum computing solutions for research and industrial customers, with a focus on scalable and fault-tolerant quantum computing.

What you will do

• Develop and extend theoretical models of quantum-dot-based single-photon sources.
• Investigate quantum dynamics, decoherence, environmental interactions, open quantum systems, and physical noise mechanisms.
• Translate theoretical models into numerical algorithms, simulation workflows, and scientific software.
• Develop, maintain, test, document, and improve research code in Python and C++.
• Validate model predictions against analytical results and experimental data while supporting theoretical and experimental research teams.
• Contribute to modelling activities, research projects, publications, conferences, and future research directions.

Requirements

• PhD in Quantum Physics, Theoretical Physics, or a related field.
• Strong foundations in quantum mechanics and theoretical modelling.
• Hands-on experience with numerical simulations of quantum systems.
• Scientific programming experience in Python and C++.
• Ability to assess modelling assumptions and validate results.
• Experience developing and maintaining scientific research code.
• Ability to collaborate with theoretical and experimental teams.
• Professional English required.
• Direct quantum-dot or photonic quantum-computing experience is not required.

Nice to have

• Quantum-dot physics and semiconductor photon sources.
• Quantum dynamics, open quantum systems, and physical noise or decoherence mechanisms.
• Quantum simulation packages such as QuTiP and experience extending existing simulation frameworks.
• Phonon-induced noise or other semiconductor noise mechanisms.
• Numerical methods for quantum-optical simulations.
• Experience connecting theoretical models with experimental measurements.
• Improving research code performance and usability.
• Use of AI tools in scientific research and modelling.

Culture & Benefits

• Research environment combining theoretical modelling, numerical simulations, scientific computing, experimental research, and hardware development.
• Close collaboration with theoretical and experimental physicists.
• Competitive compensation aligned with experience and responsibility.
• Company savings plan, 100% health coverage through Alan, transport reimbursement or sustainable mobility bonus, Swile meal vouchers, and Gymlib access.

Hiring process

• Talent Acquisition interview lasting 30–45 minutes.
• Scientific interview, discussion of previous research and numerical-modelling experience, and a technical scientific discussion.
• Reference checks, final team discussion, and offer.