About the role:

The Performance Optimization team is a unique hybrid of physicists and ML engineers improving the quality, speed and reliability of the quantum chip lifecycle, from chip design to optimal error correction.

Responsibilities

• Software Architecture & Strategy: Lead the transition of software culture from experimental scripts to robust, production-grade systems. You will architect the frameworks and data pipelines that underpin our optimization stack, ensuring modularity, scalability, and long-term maintainability.
• Engineering Culture & Standards: Elevate the software engineering maturity of the team. You will grow best practices in code quality, automated testing, API design, and documentation, mentoring both ML engineers and physicists.
• System Implementation: Hands-on building of critical infrastructure and backend services. You will develop frameworks used by dozens of researchers, and integrate our ML models with the quantum hardware control stack and data platforms.
• Cross-Team Coordination: Serve as the technical bridge between the Performance Optimization team and other software engineering groups. You will ensure our tooling aligns with company-wide architectural standards and leverage existing platforms.

Requirements

• Experience: 5+ years of industry experience in Software Engineering, with a track record of designing and maintaining complex backend production systems.
• Technical Mastery: Expert-level proficiency in Python. Deep understanding of software design patterns, API architecture, and asynchronous programming.
• Production Engineering: Solid experience with the full software lifecycle, including CI/CD pipelines, containerization, and cloud infrastructure management.
• Communication & Leadership: Proven ability to explain complex engineering trade-offs to non-software experts (e.g., scientists) and experience driving technical consensus across teams.

Nice to Have

• Background in physics: Education in physics or experience working alongside physicists.
• Machine learning expertise: Experience applying ML in industry, or working alongside ML scientists. You understand the challenges of modelling, evaluation and inference.
• Specific software expertise: Hands-on experience working with functional programming and scientific computing, in particular on GPU with JAX.
• Zero-to-One Mindset: A proven track record of taking ownership of ambiguous problems and delivering structured, stable software solutions without needing hand-holding.

Benefits

• Our success is your success: own it with our BSPCE plan
• Direct IP Compensation: Earn substantial bonuses for driving the core patents that define our quantum architecture.
• Flexible remote policy, up to 40 % a month
• A Parental Plan including additional benefits such as crèche support or additional days-off to take care of under 12 years old children
• Subsidized membership with Urban Sports Club
• Mental health support with moka.care
• 25-day vacation policy (as per French law) + RTT
• Half of transportation cost coverage (as per French law), or yearly allowance for the die-hard bicycle users
• Competitive health coverage with Alan
• Meal vouchers with Swile, as well as access to a fully equipped and regularly stocked kitchen
• French language courses covered by the company for those interested

Recruitment Process

• Screening Call with Grace, Talent Acquisition Specialist (30 min)
• Hiring Manager Interview with Etienne, Senior Manager, Performance Optimisation (45 min)
• Take-home assessment
• Technical Interview/Presentation with the Team (90 min)
• Leadership Team Interview (45 min)
• Fit Interview (45 min)
• Reference check