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Senior Superconducting Process Data & MES Integration Engineer

alice-bob · Aubervilliers

New
Senior 🇬🇧 English
MES APIs SQL Python JMP

Job description

About the role

We are looking for a hands‑on Senior Superconducting Process Data & MES Integration Engineer to deploy, configure, operate and continuously improve a commercial Manufacturing Execution System (MES) that supports our quantum chip fabrication, packaging and characterization activities. The role sits within the Foundries & Process Integration team of the Quantum Hardware & Infrastructure department.

Key responsibilities

  • Deploy, configure and customize a commercial MES across all fabrication, packaging and characterization tools, translating superconducting device flows into MES routings and traceability structures.
  • Analyze fabrication, electrical test and cryogenic characterization data to identify process variability, tool effects, drift, yield limitations and failure modes.
  • Design and implement APIs, scripts and database connections to integrate equipment with the MES, including tools lacking SECS/GEM support.
  • Build dashboards and reports for process monitoring, equipment performance, yield and engineering investigations, ensuring full traceability at lot, wafer and chip levels.
  • Train MES users, provide day‑to‑day troubleshooting, and act as the main technical interface with the MES vendor.

Required profile

  • Master’s or PhD in Physics, Materials Science, Micro/Nanofabrication or a related field.
  • 3+ years of experience in semiconductor or superconducting circuits nanofabrication in an R&D or prototyping environment.
  • Strong understanding of superconducting device fabrication process flows and ability to work in fast‑changing R&D fab constraints.
  • Excellent communication skills and ability to collaborate with process engineers, operators, software teams and external vendors.

Required skills

  • MES configuration and equipment/data integration.
  • API development, scripting and automation (e.g., Python).
  • SQL database handling and data extraction.
  • Data analysis tools such as Python and JMP.
  • Dashboard and report creation for engineering and management audiences.

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Published 1 day ago

Expires 1 month from now

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alice-bob

Aubervilliers