Senior Research Scientist, Superconducting Digital Electronics, Quantum AI
Listed on 2026-08-06
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Engineering
Electronics Engineer, Research Scientist, Systems Engineer, Electrical Engineering
Senior Research Scientist, Superconducting Digital Electronics, Quantum AI
Driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Minimum qualifications:
- Master's degree in Electrical Engineering, Physics, related engineering discipline, or equivalent practical experience.
- Experience in superconductor logic families (e.g., RSFQ, ERSFQ, RQL, HFQ, AQFP).
- Experience performing tape-out of a superconducting IC chip.
- One or more published research paper or presentation at a relevant scientific conference.
Preferred qualifications:
- PhD in physics, electrical engineering, or a related engineering discipline.
- 7 years of research/industry experience in the design and simulation of superconductor digital logic circuits with 3 years of experience leading an Research and Development (R&D) group towards tape-out and demonstration of superconducting IC chips.
- Experience with full digital design flow including RTL, synthesis, verification, timing closure, place-and-route, and post-fabrication validation.
- Experience with low-temperature measurements of superconductor digital logic circuits.
- Experience with superconducting qubits.
- Proficiency with computer-aided design tools and electromagnetic simulation tools.
About the job:
As a Research Scientist, your primary focus will be designing and simulating superconductor digital logic circuits (such as single flux quantum (SFQ) logic and adiabatic quantum flux parametron (AQFP) logic) for qubit control and readout. You will engage in co-design loops with qubit designers and superconducting digital circuit designers, utilizing advanced IC design tools, numerical circuit simulation techniques and 3D electromagnetic modeling to optimize signal integrity, minimize crosstalk, manage thermal budgets, and aim performance metrics required for coherent control of qubits.
You will also interface with fabrication engineers to help define and establish IC design standards that are compatible for both the sensitive superconducting qubits and the co-located cryogenic control electronics. This work is critical to building a fully integrated, modular chip stack that combines superconducting qubits with their control electronics directly within the cryogenic environment, accelerating the path toward large-scale, error-corrected quantum computers.
The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
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