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Google
Senior Research Scientist, Superconducting Digital Electronics, Quantum AI
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Based on California data
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What they do
A Research Scientist is responsible for designing, undertaking and analyzing information from controlled laboratory-based investigations, experiments and trials.
$157,644 / year median in California
Job Description
Applicants in
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
San Francisco:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.Benefits for this role include:
Health, dental, vision, life, disability insuranceRetirement Benefits:
401(k) with company matchPaid Time Off:
20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employmentSick Time:
40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeksBaby Bonding Leave:
18 weeksHolidays:
13 paid days per yearNote:
By applying to this position you will have an opportunity to share your preferred working location from the following: Goleta, CA, USA; Cambridge, MA, USA; Mountain View, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; WashingtonD.C., DC, USA
.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 computer. 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.