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지금 많이 보는 기업

지금 많이 보는 기업

Google
Google

Organizing the world's information and making it universally accessible.

Calibration Engineer, Quantum AI

직무엔지니어링
경력미들급
근무오피스 출근
고용정규직
게시3주 전
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  • Advance our capabilities by translating novel, state-of-the-art calibration techniques into scalable production software.

  • Provide stress-testing and hardening for our calibration software to guarantee it meets the strict uptime and reliability demands of externally facing systems.

  • Engage with hardware to calibrate and characterize state-of-the-art superconducting qubit devices.

  • Build advanced system validation tools to rapidly identify, isolate, and resolve failures across the entire quantum computing stack.

  • Architect and develop the automation tools required to initialize, deploy, and maintain the performance of our flagship quantum hardware to external users.

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience

  • 2 years of industry or academic research experience in an engineering or physics field

  • 1 year of experience calibrating and operating quantum systems

  • 1 year of programming experience

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전체 지원 클릭

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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

10개 리뷰

4.5

10개 리뷰

워라밸

3.2

보상

4.3

문화

4.1

커리어

4.2

경영진

3.8

82%

지인 추천률

장점

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

단점

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

연봉 정보

57,503개 데이터

Mid/L4

Mid/L4 · Accessibility Analyst

1개 리포트

$214,500

총 연봉

기본급

$165,000

주식

-

보너스

-

$214,500

$214,500

면접 후기

후기 9개

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