Quantum Engineer (Superconducting)
About the role
Quantum Engineer role at Conductor Quantum focusing on bringing superconducting qubit devices from post-fab packaging to a scalable online platform, combining hardware bring-up, calibration, automation, and collaboration with ML and software teams to enable quantum control at scale.
Responsibilities
- Device bring-up and measurement infrastructure: Take superconducting qubit devices from post-fab packaging to operational readiness. Own chip mounting and cryogenic assembly including wirebonding, shielding, and thermalization. Design or adapt microwave-compatible printed circuit boards and enclosures for clean signal routing and filtering. Build and maintain dilution refrigerator setups including fridge wiring, line commissioning, and the attenuators, filters, isolators, circulators, switches, and low-noise amplifiers that go with them. Develop robust procedures for cooldowns and thermal cycling to maximize uptime.
- Qubit calibration and characterization: Take devices from cooldown to working qubits. Run core calibrations including resonator and qubit spectroscopy, Rabi, Ramsey, echo, energy relaxation and coherence times, readout optimization, and two-qubit gate calibration. Drive coherence, readout performance, and calibration time in the right direction, and know which one is limiting you.
- Calibration automation: Encode expert tuning into software the platform runs on its own. Turn spectroscopy, gate calibration, and readout optimization into routines that recover without a physicist in the room. Close the loop with the software and machine learning teams.
- System performance and control stack: Keep systems stable and online. Diagnose and mitigate spurs, crosstalk, leakage, two-level system defects, thermal population, and wiring or component failures. Define the monitoring, health checks, and recovery a superconducting system needs to run unattended. Lead setup and scaling of the experimental lab environment, and write or adapt control software for arbitrary waveform generators, microwave sources, direct current sources, digitizers, and field-programmable gate arrays.
- Collaboration and system integration: Work closely with physicists, machine learning engineers, and backend developers to integrate hardware, software, and data pipelines into a unified quantum control stack. Provide feedback on usability, stability, and performance from a hardware and systems perspective.
Qualifications
- 1+ years of experience in a related field (as stated under Experience)
- Proficiency in Python (listed in Skills)
Skills
Benefits
- Free healthcare, dental, and vision
- Work on the most important technical problem of our generation
About Conductor Quantum
Quantum computers on silicon chips using AI.
Quantum computers will allow humanity to understand the world at its most fundamental level, enabling the acceleration of drug discovery and the development of new materials. Currently, quantum engineers spend days, sometimes weeks, manually getting their silicon chips to operational conditions to realize two qubits. A qubit is the information-carrying unit of a quantum computer, analogous to a bit in a classical computer. We need billions of qubits to make a useful quantum computer. Therefore, automation software will be vital to realizing this goal. Conductor Quantum will develop AI software to remove the human from the loop, enable the scaling of silicon quantum technology and build a silicon-based quantum computer.
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