
Posted 16 days ago
Team Lead – Quantum Monitoring & Recalibration
AI Summary
Leads the Monitoring and Recalibration team for cat-qubit quantum processors, owning automated measurement graphs, data quality, and product metrics across internal R&D and customer-deployed QPUs.
About this role
About the role
The Monitoring and Recalibration (MNR) team ensures that the performance of our cat-qubit Quantum Processing Units (QPU) is tracked and that the QPU remains operational at all times. As Team Lead, you will lead an interdisciplinary team of quantum experimentalists, data engineers and software developers to advance the automatic graphs of monitoring and recalibration. You will develop a product with two deployment environments: an internal version running across all of our QPUs to support R&D teams' experiments, and an external version shipped alongside QPUs sold to customers, to monitor and maintain the system in spec. You will collaborate closely with experimental and software team leads and experts to ensure the team's alignment with the company's needs and roadmap.
Responsabilities
Requirements
- PhD in experimental quantum physics, ideally with hands-on experience on superconducting circuits.
- Ability to turn a research prototype into a reliable product.
- Solid experience of automated measurement and calibration of quantum systems.
- Strong data analysis and statistical rigor: fit quality assessment, residual and uncertainty analysis, and the ability to build and defend a validation methodology rather than tune thresholds by intuition.
- Good Python proficiency and working familiarity with workflow orchestration (DAGs, scheduling, conditional execution), version control and CI.
- Experience leading a team or project, ideally in an interdisciplinary setting mixing physicists and software or data engineers.
- Excellent communication skills.
- Fluent English; French is a plus.
Recruitment Process
- Screening call with our recruiting team (30 min)
- Hiring Manager interview (45 min)
- Technical onsite Interview (90 min)
- Leadership Interview (30 min)
- Fit Interview (30 min)
Skills
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