Hybrid Quantum Hardware Engineer — Cryogenic Measurement

Graduate; Netherlands; Hybrid; EUR 70,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Pension program

Hybrid setup

Learning budget

Team events

Job summary

QuantWare is seeking an Experimental Quantum Engineer - R&D in the Netherlands to operate and advance cryogenic measurement setups. You will characterise new R&D prototypes, analyse data, and collaborate across Design, Fabrication, and Measurement teams to push throughput and reliability.

Responsibilities include maintaining cryostats, developing Python-based automation, and standardising data pipelines and reports for seamless knowledge sharing.

Qualifications

• MSc in Physics, Applied Physics, Electrical Engineering, or related field.
• Hands-on cryogenic systems experience (dilution refrigerators, 4 K cryostats).
• Strong RF/microwave measurement background for qubits and superconducting devices.
• Proficiency in Python for data analysis and automation; Git for version control.

Responsibilities

• Cryogenic infrastructure management: operate and upgrade cryostats and measurement setups.
• Measurement & code development: Python-based routines for high-throughput characterisation.
• Prototype characterisation & analysis: perform precision measurements and data interpretation.
• Reliability & scaling: design tests to optimise setups for higher throughput.
• Reporting & process standardisation: document data pipelines and technical reports.

Skills

Python

Git

Cryogenic operation

RF measurement

Education

MSc in Physics / related field

Tools

Cryostat control software

Python scripting

Lab instrumentation

Job description

QuantWare is seeking an Experimental Quantum Engineer - R&D in the Netherlands to operate and advance cryogenic measurement setups. You will characterise new R&D prototypes, analyse data, and collaborate across Design, Fabrication, and Measurement teams to push throughput and reliability.

Responsibilities include maintaining cryostats, developing Python-based automation, and standardising data pipelines and reports for seamless knowledge sharing.