Quantum Device Characterization Engineer

About The Company (Industry & Sector)

An advanced-technology scale-up at the crossroads of

Quantum Computing, Artificial Intelligence and Semiconductor Engineering

. The hardware division designs full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics and RF instrumentation—to unlock breakthroughs across life-sciences, finance, transportation and space.Role & Responsibilities

• Design and execute quantum-device experiments—from cryogenic fixture design to automated data acquisition—for superconducting-qubit characterisation.
• Develop and refine protocols to measure coherence times, gate fidelities, and perform quantum-state / process tomography, feeding results back into device design.
• Maintain, troubleshoot and optimise cryogenic measurement stacks and microwave-RF chains to guarantee low-noise, high-throughput data collection.
• Implement data pipelines in Python / MATLAB that process raw traces into actionable metrics and dashboards for cross-functional teams.
• Collaborate with quantum-processor, control-electronics and theory groups to correlate empirical results with simulations and accelerate design-of-experiments cycles.
• Document methodologies, publish findings and help shape the roadmap for next-generation, fault-tolerant quantum processors.
  

Skills & Qualifications

Must-Have

• MSc / MTech / PhD in Physics, Electrical Engineering, Materials Science or related field with quantum focus.
• Hands-on experience designing cryogenic or microwave testbeds and performing quantum measurements on superconducting qubits or similar platforms.
• Proven ability to measure and analyse device parameters (T₁/T₂, gate fidelity, tomography).
• Solid understanding of circuit QED and error-correction concepts relevant to superconducting hardware.
• Proficiency in Python (NumPy/Pandas/Matplotlib) or MATLAB for data analysis and instrument control.
• Strong problem-solving, communication and teamwork skills; comfortable in fast-paced R&D settings.
  

Preferred

• Track record of peer-reviewed publications or conference presentations in quantum technology.
• Experience writing DoE-driven analysis reports that steer experimentation plans.
• Familiarity with cold-atom or spin-qubit platforms, autonomous calibration routines, or GPU-accelerated simulators.
• Knowledge of error-mitigation / bosonic-code techniques and their experimental implementation.
• Exposure to clean-room fabrication workflows and materials studies for superconducting devices.
• Contributions to open-source quantum-measurement tooling or instrument-control libraries.
  

Skills: hamiltonian engineering,coherence times measurement,quantum-state tomography,ldpc codes,surface codes,gate fidelity measurement,python-based quantum platforms,circuit qed,automated data acquisition,numerical tool-chains,fault-tolerant architectures,superconducting-qubit error-correction schemes,computational modelling of quantum circuits,data processing in matlab,quantum device characterization,problem-solving,experimental protocols,matlab,error-mitigation techniques,quantum-software stacks,cryogenic fixture design,collaboration,quantum computing,artificial intelligence,data processing in python,quantum error-correction codes,quantum-process tomography,teamwork,python,error-correction concepts,quantum-state & process tomography,communication,qubit-control schemes,semiconductor,peer-reviewed publications,dynamical decoupling,numerical methods