About Quandela: 

Quandela is a global leader in quantum computing, designing, building, and delivering cutting-edge quantum solutions for research and industry. Its offerings include the most energy-efficient quantum computers for data centers, full-stack quantum computing solutions accessible via the cloud, and algorithm access services for academic and industrial customers.
Following a pragmatic, step-by-step roadmap, Quandela has been deploying industrial-grade systems since 2023 while developing future generations of fault-tolerant quantum computers capable of scaling through the integration of thousands of photonic components. Quandela is committed to making quantum computing accessible to all in order to address the most complex industrial and societal challenges. Our ambition is to build large-scale fault-tolerant quantum computers. 

Learn more at: https://www.quandela.com/
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About this position: 
Within Scalable Architecture, we model the physical systems behind our technologies to understand their limitations and guide future designs. 

As part of this effort, you will join our Device Physics team, developing theoretical and numerical models of Quandela's quantum-dot-based photon sources in close collaboration with experimental teams. 
Your work will cover both quantum modelling and the development of scientific simulation tools, from investigating physical phenomena to improving existing models and making them usable by other researchers. 

This role combines theoretical quantum physics, hands-on numerical research and scientific computing, with opportunities to contribute to ongoing projects, support experimental investigations and explore new modelling approaches. 
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What you'll do: 
As a Quantum Information Scientist working on Single Photon Source Theory & Modelling, you will contribute across two complementary areas: 

> Theoretical modelling & scientific simulations 

• Develop and extend theoretical models of quantum-dot-based single photon sources. 
• Investigate quantum dynamics, decoherence and environmental interactions.
• Model open quantum systems and relevant physical noise mechanisms.
• Translate theoretical models into numerical algorithms and simulation workflows.
• Validate predictions against analytical results and experimental data.
• Support ongoing research projects and photon-source investigations.

> Scientific computing & simulation tools 

• Develop and extend scientific simulation code in Python and C++.
• Implement quantum-dynamics models using suitable numerical methods.
• Integrate new physical effects into existing simulation frameworks.
• Maintain, test and improve research code and numerical workflows.
• Make simulation tools reliable, documented and reusable by researchers.

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How you'll grow:
During your first months: Get familiar with Quandela's quantum-dot systems, existing models and simulation tools while contributing to ongoing projects.

Within 6–12 months: Take ownership of modelling activities, extend existing frameworks and improve their usability across the team.

Longer term: Explore new theoretical approaches and help guide future research directions in quantum-dot modeling.

Requirements

What we're looking for:

We are looking for a scientist combining strong theoretical quantum physics and hands-on numerical modelling skills.
You should be comfortable translating physical questions into simulations and developing scientific code that other researchers can use.

Must-have:

• 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 in Python / 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.

Important, but you can grow here:

• Quantum-dot physics and semiconductor photon sources.
• Quantum dynamics and open quantum systems.
• Quantum simulation packages such as QuTiP.
• Experience extending existing simulation frameworks.
• Modelling of physical noise and decoherence mechanisms.

Bonus:

• Phonon-induced noise or other semiconductor noise mechanisms.
• Numerical methods for quantum-optical simulations.
• Connecting theoretical models with experimental measurements.
• Improving research code performance and usability.
• Use of AI tools in scientific research and modelling.

We welcome candidates from different theoretical and computational physics backgrounds. Direct quantum-dot or photonic quantum-computing experience is not required

Benefits

Join a research team where theoretical modelling, numerical simulations and scientific computing directly contribute to experimental research and hardware development.

• Work on quantum-dot physics and the modelling of semiconductor photon sources.
• Collaborate closely with theoretical and experimental physicists.
• Develop scientific models and simulation tools used across research projects.
• Contribute to publications, conferences and new research directions.

Plus: 

• Competitive compensation aligned with your experience and level of responsibility. 
• Company savings plan. 
• 100% health coverage through Alan. 
• Transport reimbursement or sustainable mobility bonus. 
• Swile meal vouchers. 
• Access to Gymlib. 

Process 

• Talent Acquisition interview, 30–45 min 
• Scientific interview with members of the team 
• Discussion of your previous research and numerical-modelling experience 
• Technical scientific discussion 
• Reference checks
• Final discussion with the team 
• Offer 

The scientific discussions are intended to understand how you approach theoretical modelling, develop and validate numerical simulations, and work with scientific code, including how you assess assumptions and connect results with physical systems.

Beyond that:
If you enjoy combining quantum theory, numerical simulations and scientific computing, this role offers the opportunity to contribute to real hardware challenges while taking ownership of scientific models and tools that support Quandela's research.