Senior Scientific Software Engineer

About the role:

As a Senior Scientific Engineer, you will operate at the intersection of physics, simulation, and software engineering. You will play a key role in developing our qubit simulation and operation platform, contributing across software architecture, scientific computing, and application engineering. You will own complex scientific workflows from concept to deployment, ensuring that solutions are robust, scalable, and maintainable while supporting the evolving needs of the platform.

Responsibilities:

• Architect, implement, and optimize high-performance scientific software components and simulation kernels, while establishing best practices for software quality, testing, and maintainability.
• Lead development and evolution of the simulation environment used to integrate, orchestrate, and execute quantum chip simulations.
• Drive the onboarding and promotion of simulation tools across the organization, demonstrating capabilities, gathering user feedback, and helping shape the tooling roadmap.
• Support simulation studies, including the execution of simulation pipelines.
• Partner effectively with quantum scientists, researchers, and cross-functional colleagues.

Requirements:

• PhD or Master’s degree in Applied Mathematics, Scientific Computing, Quantum Physics, or related field.
• 5+ years of experience, including 2+ years in an industrial environment.
• Proficiency in Python and JAX, with strong software engineering skills, including version control (Git/GitLab), CI/CD pipelines, automated testing, code review, and software maintainability best practices.
• Experience with scientific computing ecosystems (e.g., NumPy, SciPy, JAX, PETSc, or equivalent), and familiarity with HPC environments (CPU/GPU).
• Hands-on experience running simulations or using scientific simulation software (e.g., Ansys, COMSOL, or similar).
• Professional-level English proficiency, both written and spoken.

Nice to have:

• Proficiency in RUST.
• Background in quantum physics or related domains.
• Strong delivery mindset, with a focus on impact and execution.
• Excellent teamwork, communication, and documentation skills.
• Hands-on experience using LLM-powered tools as part of professional software engineering practices.

Recruitment Process :

• Screening call with Doriane (30 min)
• Hiring Manager Interview (45 min)
• Technical Interview with the Team (60 min)
• Leadership Interview (30 min)
• Fit Interview (30 min)