Industry & Sector:
Deep-tech quantum computing hardware — advanced quantum device development, low-temperature test systems, and micro/nano-fabrication for scalable qubit technologies. On-site role based in India focused on building production-ready quantum devices and measurement infrastructure.
Primary Job Title (standardised):
Quantum Hardware Engineer (original title: Quantum Device Engineer)
About The Opportunity
Join a fast-moving quantum hardware team building the devices, cryogenic testbeds, and RF/microwave instrumentation that enable next-generation quantum processors. You'll work hands-on across design, fabrication, and low-temperature characterization to improve coherence, yield, and reproducible device performance for scalable quantum systems.Role & Responsibilities
- Design, fabricate, and characterize quantum devices (e.g., superconducting qubits, spin/solid-state devices) and integrate them into dilution-refrigerator test stacks.
- Develop and execute low-temperature measurement campaigns to extract coherence (T1/T2), gate fidelities, S-parameters and noise performance using VNAs, oscilloscopes, and digitizers.
- Define and refine fabrication process flows (e-beam lithography, thin-film deposition, etch, lift-off) to improve device yield and repeatability in cleanroom environments.
- Build and automate test and calibration pipelines (Python, LabVIEW/QCoDeS) for instrument control, data acquisition, and analysis; maintain versioned experiment notebooks and datasets.
- Troubleshoot RF/microwave signal chains, design impedance-matching and shielding solutions, and simulate microwave components using HFSS/ADS or equivalent EM tools.
- Document experimental procedures, own safety & cryogenic best practices, and communicate results to cross-functional engineering and research teams.
Skills & Qualifications
Must-Have
- MSc/PhD in Physics, Electrical Engineering, Materials Science or related field with 2+ years hands-on device experience (industry or lab).
- Practical experience with low-temperature measurements and dilution refrigerators; demonstrated measurement of qubit or similar quantum device metrics.
- Cleanroom fabrication skills: e-beam lithography, thin-film deposition, etch processes, and metrology.
- Strong RF/microwave measurement skills (VNAs, S-parameters, cryogenic wiring, amplifiers) and understanding of signal integrity.
- Proficiency in instrumentation scripting and automation (Python, LabVIEW/QCoDeS) and Git-based workflows.
- Excellent experimental design, troubleshooting, and cross-disciplinary collaboration skills.
Preferred
- PhD with publications in quantum devices or superconducting qubit systems.
- Experience with control electronics (FPGA-based systems), QCoDeS, or quantum control stacks.
- Familiarity with EM simulation tools (HFSS, Sonnet, COMSOL) and microwave component design.
- Packaging experience (wirebonding, flip-chip, cryogenic connectors) and wafer-level processing.
- Prior industry experience at a quantum hardware startup, national lab, or foundry collaboration.
Benefits & Culture Highlights
- Hands-on role with direct ownership of device development in a high-impact deep-tech environment.
- Access to state-of-the-art cleanroom, cryogenic labs, and mentorship from senior device scientists.
- Competitive compensation, continuous learning budget, and collaborative interdisciplinary culture.
Location & Work Type:
India — On-site (candidates must be available to work from the lab/cleanroom).If you are passionate about building scalable quantum hardware, thrive in hands-on experimental work, and want to accelerate the commercialization of quantum technologies, we encourage you to apply.Skills: ldpc codes,quantum-state & process tomography,hamiltonian engineering,python,quantum error-correction codes,circuit qed,cryogenic fixture design,collaboration,gate fidelity measurement,surface codes,qubit-control schemes,problem-solving,statistical process control,quantum-process tomography,thin-film deposition,e-beam lithography,quantum-software stacks,optical lithography,teamwork,artificial intelligence,matlab,numerical methods,automated data acquisition,afm,semiconductor,dry etching,dynamical decoupling,quantum computing,communication,fault-tolerant architectures,quantum device characterization,python-based quantum platforms,computational modelling of quantum circuits,quantum-state tomography,superconducting-qubit error-correction schemes,experimental protocols,peer-reviewed publications,process-automation scripts,data processing in matlab,cleanroom safety,error-mitigation techniques,wet etching,numerical tool-chains,coherence times measurement,sem,data processing in python,error-correction concepts,xrd
