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트렌딩 기업

트렌딩 기업

채용

채용Google

Research Lab Manager, QuantumAI

Google

Research Lab Manager, QuantumAI

Google

·

On-site

·

Full-time

·

2mo ago

보상

$113,000 - $161,000

복지 및 혜택

Flexible Hours

Parental Leave

Equity

필수 스킬

JavaScript

Python

PostgreSQL

About the job

Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability.

Google Quantum AI’s mission is to make useful quantum computing tools available to the world, enabling humankind to solve problems that would otherwise be impossible. Quantum AI is building novel systems that leverage quantum mechanics to outperform the world's largest computers at certain classes of problems.

In this role, you will be focusing on coordinating facility build-outs and implementing safety programs. You will be responsible for maintaining various facilities for quantum computers, ensuring equipment is serviced in accordance with manufacturers’ guidelines and in compliance with relevant permits. You will prioritize tasks while communicating with a wide range of internal and external stakeholders.
The US base salary range for this full-time position is $113,000-$161,000 + 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

  • Work closely with technicians and engineers on facility-related projects, maintenance, shutdowns, and emergencies.

  • Assist the facilities team with following equipment maintenance procedures and service contracts in a high-tech environment.

  • Determine space planning of equipment with necessary utilities and supporting infrastructure.

Minimum qualifications

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.

  • 3 years of experience in managing an industry lab (e.g., semiconductor fabrication or hardware research facility).

  • 3 years of experience with safety regulations and protocols in a research or lab environment.

  • 3 years of experience with maintenance of lab facilities including vacuum, or electrical test systems, liquid nitrogen, or other hazards/chemicals.

  • 3 years of experience overseeing electrical, mechanical, and plumbing construction in a research and development setting.

Preferred qualifications

  • Knowledge of debugging skills.

  • Familiar with using industry standard simulations and debug tools.

총 조회수

2

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

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