Quantum Software Developer

il y a 1 semaine


Paris, Île-de-France GALILEO RH Temps plein

About the Role

We are looking for a
Senior Software Engineer / Computer Scientist
with strong expertise in
Quantum Computing and Numerical Simulation (CFD)
. You will join our R&D team to help build the next generation of high-fidelity flow simulation systems for aerospace, propulsion, energy, and weather applications.

Your role will involve designing and integrating quantum algorithms into our CFD software, enabling hybrid GPU–quantum workflows, and contributing to advanced research projects related to running large-scale simulations on quantum architectures.

This is a full-time, on-site position within a collaborative and highly technical environment, ideal for candidates passionate about high-performance computing, physics-based modelling, and disruptive simulation technology.

Responsibilities

  • Develop, integrate, and optimize quantum algorithms for CFD simulations.
  • Adapt and port software components to quantum emulators and quantum computing environments.
  • Validate implementations through verification, benchmarking, and experimental test cases.
  • Contribute to scientific publications, technical reports, and internal documentation.
  • Represent the team at conferences, workshops, and research events in related scientific fields.

Required Qualifications

  • PhD in
    Computer Science, Quantum Computing
    , or closely related field.
  • Proven experience in
    quantum programming languages, compilation, and algorithm design
    .
  • Strong background in
    numerical methods
    , ideally applied to CFD or physical simulations.
  • Solid understanding of
    differential equations and algebraic solvers on quantum systems
    .
  • Ability to work in a collaborative scientific environment while driving innovation.

Technical Skills

  • Expertise in
    CFD numerical methods
    and simulation frameworks.
  • Strong programming skills in
    C/C++
    ,
    CUDA
    , and
    Python
    .
  • Experience with
    GPU architectures and native GPU development
    .
  • Background in
    Computational Fluid Dynamics (CFD)
    is highly valuable.

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