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Senior Research Scientist, Josephson Analog Electronics, Quantum AI

Google

Senior Research Scientist, Josephson Analog Electronics, Quantum AI

Google

·

On-site

·

Full-time

·

2w ago

About the job

In this role, you will own projects involving active analog superconducting circuits operating up to 20 GHz, including mixers, switches, and parametric converters for qubit readout and control. You will take projects from concept, through design and test iterations, to successful demos and eventual integration. You will be an expert in superconducting devices (e.g., superconducting quantum interference devices (SQUIDs), nanowires), microwave engineering, and multi-parametric processes. You will be comfortable with basic qubit bringup, control, and metrology.

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.

The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Own project full lifecycle from innovation to integration

  • Design, simulate, layout, and test superconducting 3- and 4-wave mixing devices.

  • Experiment design and measurement in the context of qubit readout and control.

  • Collaborate with processor design, device modeling, theory, fabrication, and metrology teams.

Minimum qualifications

  • PhD in physics, electrical engineering, or related fields or equivalent practical experience.

  • 2 years of experience in operating, calibrating, or benchmarking quantum systems, superconducting detectors, or related technologies.

  • 2 years of experience in working on an academic, government, or industry lab environment.

  • Experience with a programming language (Python, C, MATLAB, or similar) and data analysis.

  • Experience with microwave engineering, circuit design, electromagnetic (EM) simulation, and test-and-measurement equipment and practices.

Preferred qualifications

  • Experience with superconducting devices such as JRM, SNAIL, LINC, ATS, n Trons, etc.

  • Experience working in a lab setting.

  • Experience with microwave passives such as filters, multiplexers, impedance matching and coupling structures, including circuit and EM simulation with an ability to innovate in this area.

  • Experience leading research projects as an individual contributor.

  • Ability to debug hardware and software issues, in the context of microwave control and measurement of superconductor or semiconductor quantum systems.

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총 지원 클릭 수

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모의 지원자 수

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스크랩

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Google 소개

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

직원 수

Mountain View

본사 위치

$1,700B

기업 가치

리뷰

3.7

25개 리뷰

워라밸

3.8

보상

4.2

문화

3.4

커리어

3.9

경영진

2.8

68%

친구에게 추천

장점

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

단점

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

연봉 정보

57,502개 데이터

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0개 리포트

$176,704

총 연봉

기본급

-

주식

-

보너스

-

$150,298

$203,110

면접 경험

9개 면접

난이도

3.4

/ 5

소요 기간

14-28주

합격률

44%

경험

긍정 0%

보통 56%

부정 44%

면접 과정

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense