Opens an external site
- Employment type
- Full-time
- Experience level
- Mid-level · 2+ years
- Minimum education
- Master’s degree
- Posting language
- English
- Working hours
- 40 hours per week
- Application method
- Direct apply is available
Job summary
Lead experimental research in designing, developing, and scaling superconducting quantum processors. This includes characterizing qubit parameters, calibrating high-fidelity gates, and automating experimental software tools.
Job details
Overview SuperQ Quantum Computing Inc. (CSE: QBTQ) in partnership with the University of Waterloo is seeking two Quantum Hardware Scientists at post-doctoral or doctoral level to lead experimental research in developing and scaling its superconducting quantum processors. This role sits at the intersection of academic research and industry execution, spanning superconducting quantum device design, experimental characterization, control, cryogenic measurement, and experimental software automation. You will work under the supervision of Dr. Matteo Mariantioni as part of the Quantum Digital Matter Lab at the University of Waterloo and be part of SuperQ’s scientific and engineering team. You will contribute to the expansion of SuperQ Quantum’s in-development superconducting quantum computer. Your role will encompass industry and academia and a range of activities across hardware fabrication, microwave electronics, and control software to identify processor bottlenecks and translating experimental findings into architectural improvements. Responsibilities Processor Design & Evaluation: Design, develop, and experimentally evaluate scalable superconducting quantum processors and custom quantum devices. Experimental Characterization: Plan and execute time-domain measurement routines to characterize qubit parameters, including T1, T2, and phase noise. Gate Calibration & Benchmarking: Develop, calibrate, and benchmark high-fidelity single- and two-qubit gates, readout mechanisms, and reset protocols. Error & Crosstalk Mitigation: Diagnose and mitigate sources of decoherence, crosstalk, control errors, and physical limitations to processor performance. Architectural Simulation: Partner with device designers on parameter optimization, coupling strategies, and 3D microwave simulations. Cross-Functional Collaboration: Lead joint experimental programs SuperQ and UWaterloo to inform the overarching quantum technology roadmap. Experimental Automation: Write clean, modular software tools for data acquisition, hardware control, device modeling, and real-time calibration. Technical Documentation: Present experimental findings clearly through documentation, joint publications, and technical progress reviews. Requirements Education: PhD in Physics, Applied Physics, Electrical Engineering, Quantum Engineering, or equivalent research experience for post-doctoral level position, and MS in one of these domains for doctoral level position. Hardware & Quantum Control: Hands-on experience with superconducting qubits, experimental quantum control, or related quantum hardware platforms. Cryogenics & RF: Practical expertise with cryogenic dilution refrigerators, RF/microwave measurement chains, and time-domain quantum characterization. Software: Strong programming skills in Python for software automation, data analysis, and scientific modeling. Analytical Skills: Excellent problem-solving, experimental design, and troubleshooting capabilities with a demonstrated ability to drive research independently. Communication: Outstanding collaboration skills to work effectively across academic, startup, and industry boundary teams. Preferred Qualifications Experience in designing, simulating, or laying out superconducting quantum circuits. Familiarity with circuit QED simulation tools and superconducting device fabrication processes. Specialized expertise in randomized benchmarking, quantum gate calibration, noise characterization, or active crosstalk cancellation. Background in low-noise cryogenic electronics, custom PCB layout, or RF/microwave engineering. Experience using version control systems (e.g., Git) and collaborative software development workflows. Prior startup, industry, or technical leadership experience in quantum science or hardware. Environment and Culture Joint Research Ecosystem: Collaborate at the nexus of agile quantum hardware development, top-tier industry platform integration (SuperQ), and academic research (UWaterloo). Cutting-Edge Infrastructure: Access state-of-the-art cryogenic and fabrication facilities at the University of Waterloo and operating system software from SuperQ Quantum. Autonomy & Impact: High degree of ownership over key experimental modules with the ability to directly influence hardware roadmaps. Publication & Dissemination: Encouragement to publish breakthroughs, present at premier conferences, and share findings with the broader quantum community Equal Opportunities Statement The SuperQ Quantum and the University of Waterloo are committed to creating an inclusive and diverse research environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, or protected veteran status. Interested in this role? Click here to apply.
What you’ll do
Lead experimental research in designing, developing, and scaling superconducting quantum processors. This includes characterizing qubit parameters, calibrating high-fidelity gates, and automating experimental software tools.
Requirements
Requires a PhD or MS in Physics, Electrical Engineering, or Quantum Engineering with hands-on experience in superconducting qubits and cryogenics. Proficiency in Python for automation and data analysis is essential.
Listed skills
- Data analysis · Preferred
- Git · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Superconducting Qubits
- Quantum Control
- Cryogenics
- RF/Microwave Measurement
- Python
- Quantum Gate Calibration
- Circuit QED Simulation
- Device Fabrication
- Time-Domain Characterization
- Experimental Automation
- Data Analysis
- Git
- Quantum Processor Design
- Error Mitigation
- Crosstalk Cancellation
- Scientific Modeling
Job areas
- Science & Research
- Engineering
- Technology
- Software
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