Experimental Quantum Engineer - R&D

Entangled Future

Netherlands

Hybrid

EUR 65,000 - 90,000

Full time

14 days+

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Benefits offered by this job

8% holiday allowance
Pension plan
Hybrid work setup
L&D budget

Job summary

QuantWare in Delft is seeking an Experimental Quantum Engineer - R&D to join our hardware engineering team. You’ll drive cryogenic infrastructure, develop Python-based control and data analysis workflows, and help characterise next‑gen quantum devices.

You’ll collaborate with world‑class experts in a fast‑moving environment, with emphasis on reliability studies, cross‑disciplinary work, and hands-on experimentation.

Qualifications

  • MSc in Physics or related field with quantum focus.
  • Hands-on cryogenic operation and maintenance experience.
  • Strong Python for data analysis and control.
  • Familiar with Git and instrument control workflows.

Responsibilities

  • Cryogenic Infrastructure Management: operate and upgrade cryostats and related setups.
  • Measurement & Code Development: Python routines for high-throughput characterisation.
  • Prototype Characterisation & Analysis: perform precise measurements and data interpretation.
  • Reliability & Scaling: design experiments to scale throughput.
  • Reporting & Process Standardisation: document experiments and data pipelines.

Skills

Python
Instrumentation control
Test automation
Git

Education

MSc in Physics
MSc in Applied Physics
MSc in Electrical Engineering
PhD a plus

Tools

Cryogenic systems
Microwave measurement equipment

Job description

Experimental Quantum Engineer - R&D at QuantWare, Delft. A mid-level full time position in the Research & Development team, listed under hardware engineering.

At QuantWare, you’ll be part of a high-performing team of world-class experts in an ambitious, fast-moving environment. From day one, you’ll have the trust, tools, and support to do your best work. Here’s what you can expect: Competitive salary - A salary that reflects the impact and importance of the role (and of course 8% holiday allowance) Pension that’s built to last - A generous and future-proof pension plan that includes partner and dependent coverage.

Flexibility built on trust - We focus on outcomes. Work flexibly, in a hybrid setup, with an open vacation policy that lets you manage your time Personal growth - We invest in your L&D, with a budget available to each team member, dependent on their individual ambitions, development needs, and performance A connected team - We make space to celebrate wins together, with team events, offsites, and spontaneous moments that bring us closer

Responsibilities
  • Cryogenic Infrastructure Management: Drive the day-to-day operation, maintenance, and strategic upgrades of QuantWare’s cryostats and cryogenic measurement setups to keep them state-of-the-art.
  • Measurement & Code Development: Build, refine, and automate Python-based routines for high-throughput device characterisation and hardware control.
  • Prototype Characterisation & Analysis: Perform precision measurements on novel R&D prototypes, analyse the data, formulate hypotheses, and collaborate with cross-disciplinary teams to troubleshoot abnormalities.
  • Reliability & Scaling: Design and execute cryogenic reliability studies, optimising setups to handle increasing throughput demands.
  • Reporting & Process Standardisation: Streamline experiment documentation, data pipelines, and technical reporting to ensure seamless knowledge sharing across teams.
Requirements
  • Education: MSc in Physics, Applied Physics, Electrical Engineering, or a related field, ideally with a concentration in Quantum Computing or Quantum Technology (PhD is a plus).
  • Cryogenic Expertise: Hands-on experience in low-temperature operation and maintenance of cryogenic systems - dilution refrigerators, pulse-tube or 4 K cryostats, wet helium/nitrogen systems.
  • RF & Superconducting Hardware: Strong background in microwave/RF measurement techniques for superconducting qubits and other solid-state systems.
  • Software Skills: Proficiency in Python for data analysis, instrumentation control, and test automation, along with experience using Git for version control.
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