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채용Google

Cryogenic Operations Lab Generalist, Quantum AI

Google

Cryogenic Operations Lab Generalist, Quantum AI

Google

·

On-site

·

Full-time

·

2w ago

About the job

As the Cryogenic Operations Technician, you will be responsible for configuring, operating, and maintaining quantum computing systems. You will ensure the functionality and performance of completed and operational quantum computing systems. You will be responsible for diagnosing and resolving electromechanical and electrical issues, performing scheduled maintenance, and maintaining accurate records or work performed on systems.

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 $99,000-$140,000 + 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

  • Assemble, install, and integrate electronic hardware, components, and sub-assemblies into quantum computing systems.

  • Calibrate, test, and adjust electronic instruments, components, or systems to meet performance specifications and quality standards.

  • Conduct comprehensive electrical testing, including continuity checks, signal path verification, and functional tests, to ensure system integrity and performance.

  • Utilize various electronic test equipment, such as multimeters, oscilloscopes, signal generators, and network analyzers, to perform diagnostics and troubleshoot issues.

  • Identify and report hardware, software, and networking issues at the component, module, and system level.

Minimum qualifications

  • Experience in electronics assembly, system integration, and testing.

  • Experience reading and interpreting schematics, wiring diagrams, and technical manuals.

  • Experience using electronic test equipment (e.g., multimeters, oscilloscopes).

  • Experience with the operation, maintenance, and troubleshooting of cryogenic systems.

  • Experience with the interpretation and execution of script-based software.

Preferred qualifications

  • Associate’s degree or higher in Physics, Computer Science, Computer Engineering, Electrical Engineering, or related field.

  • Familiarity with network analyzers, spectrum analyzers, and other RF test equipment.

  • Proficiency in test automation and scripting languages (e.g., Python, SQL, MATLAB).

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

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

Mid/L4

Senior/L5

Mid/L4 · Technical Program Manager

1,213개 리포트

$365,196

총 연봉

기본급

$187,658

주식

$130,822

보너스

$46,717

$242,776

$576,787

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