Quantum hardware company building superconducting quantum processors designed for utility-scale systems. They're solving one of the field's core scaling bottlenecks at the architecture level, and they need a measurement engineer to push readout and control performance as the platform grows.
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What you'll do:
Design, implement and optimise qubit readout and control chains
Build measurement protocols for characterisation: T1, T2, Ramsey, echo, RB, readout fidelity, crosstalk
Optimise SNR and measurement fidelity under real hardware constraints
Develop and maintain Python-based experimental control software with FPGA/AWG integration
Analyse experimental data against theoretical models and simulations
Work closely with device physicists, fab and systems teams
Contribute to scalable measurement architectures and automation for large-qubit systems
What you'll need:
PhD or MSc in Physics, Applied Physics, EE or similar
5+ years hands-on with superconducting qubits or closely xrdbqlu related quantum hardware
Microwave engineering in practice: GHz electronics, IQ mixers, amplifiers, VNAs
Solid grounding in quantum measurement theory and decoherence mechanisms
Dilution refrigerator experience
Strong Python for experiment control and data analysis
Ability to debug complex setups across hardware and software
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