Quantum Design Engineer — Cryogenic QPU Architect

QuantWare BV; Delft; Hybrid; EUR 110,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

8% holiday allowance

Hybrid setup

L&D budget

Team events

Job summary

QuantWare BV is seeking a Quantum Design Engineer to advance superconducting quantum processors. You will lead design of next-generation qubit chips, develop modular QPU architectures, and optimize nonreciprocal superconducting circuits from on-chip subsystems to readout interfaces.

You will collaborate with experimentalists and device engineers, use Python for automation, and drive rapid iterations to improve coherence, yield and manufacturability in a hybrid work environment.

Qualifications

• MSc in Physics or Electrical Engineering or related field.
• 2+ years of industry experience or a PhD with relevant hands-on work.
• Strong Python skills for automation of designs, simulations and data analysis.

Responsibilities

• Design and simulate quantum hardware to improve performance, coherence and scalability.
• Develop manufacturable device architectures to accelerate R&D cycles and increase qubit fidelity.
• Architect and optimize the layout of nonreciprocal superconducting circuits for robust performance at cryogenic conditions.
• Interpret simulation results and correlate with experimental data to guide iterative design improvements.
• Collaborate across teams to ensure rapid design-to-test cycles, connecting theory with experiment.
• Automate the design pipeline using Python for parametric device generation, simulation sweeps, and data post-processing.

Skills

Python

EM simulation

Chip design

cQED knowledge

Nonreciprocal circuits

Microwave engineering

Education

MSc in Physics

MSc in Electrical Engineering

PhD in related field

Tools

Ansys HFSS-Q3D

KLayout

Git

Qiskit-Metal

Job description

QuantWare BV is seeking a Quantum Design Engineer to advance superconducting quantum processors. You will lead design of next-generation qubit chips, develop modular QPU architectures, and optimize nonreciprocal superconducting circuits from on-chip subsystems to readout interfaces.

You will collaborate with experimentalists and device engineers, use Python for automation, and drive rapid iterations to improve coherence, yield and manufacturability in a hybrid work environment.