Quantum Device 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

• Fabricate superconducting-qubit devices on silicon wafers using optical & e-beam lithography, thin-film deposition (sputtering / evaporation) and dry / wet etching, driving first-pass yield improvements.
• Perform room-temperature & cryogenic characterisation (SEM, AFM, XRD, conductivity) and translate findings into rapid process tweaks.
• Develop and execute design-of-experiments (DoE) and test plans that boost parameter reproducibility across lots.
• Maintain best-in-class cleanroom safety & chemical-handling protocols, ensuring operational uptime and compliance.
• Analyse data in Python / MATLAB, author concise reports and collaborate with processor, theory and cryo-control teams to iterate device architecture.
• Champion a culture of continuous improvement, peer reviews and knowledge-sharing within the quantum-hardware programme.
  

Skills & Qualifications

Must-Have

• MSc/MTech/PhD in Electronics, Micro-/Nano-electronics, Materials Science or similar, plus 1–3 years’ cleanroom experience developing silicon-based devices.
• Hands-on expertise with optical / EBL lithography, thin-film deposition, wet & dry etching and related metrology tools (SEM, AFM, XRD).
• Familiarity with dielectric deposition processes (PECVD, oxidation, LPCVD).
• Solid grasp of cleanroom chemical safety, defect prevention and statistical process control.
• Proven ability to draft DoE-based analysis reports and work cross-functionally to refine fabrication flows.
• Excellent problem-solving, communication and teamwork skills; thrive in a fast-paced R&D setting.
  

Preferred

• Experience fabricating or characterising Josephson-junction devices for superconducting qubits.
• Knowledge of cryogenic measurement techniques and qubit-level performance metrics (T₁/T₂, gate fidelity).
• Exposure to process-automation scripts, yield dashboards or GPU-accelerated simulators for device modelling.
• Publications or patents in quantum-hardware fabrication / characterisation, or contributions to open-source nanofab tooling.
• Familiarity with ISO14644 cleanroom standards and SPC software (e.g., JMP, Minitab) for data-driven process control.
  

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