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. 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: Ph D or MSc in Physics, Applied Physics, EE or similar 5+ years hands-on with superconducting qubits or closely 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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