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트렌딩 기업

트렌딩 기업

채용

채용Google

Software Engineer, Chrome AI Test Infrastructure

Google

Software Engineer, Chrome AI Test Infrastructure

Google

·

On-site

·

Full-time

·

1w ago

  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

  • Gain a deep understanding of the AI testing and evaluation infrastructure for Chrome.

  • Apply debugging and creative thinking skills to find ways to address infrastructure problems in a new and expanding space.

  • Review code developed by other engineers and provide feedback to ensure best practices.

  • Bachelor’s degree or equivalent practical experience.

  • 2 years of experience with software development in Python.

  • 2 years of experience with test infrastructure and internal tooling development.

  • 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

총 조회수

1

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