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트렌딩 기업

트렌딩 기업

채용

채용Google

AI Security Engineer

Google

AI Security Engineer

Google

·

On-site

·

Full-time

·

1w ago

  • Analyze systems to identify vulnerabilities and opportunities for hardening, and report findings to stakeholders for mitigation.

  • Promote quality security practices across the organization, influencing software engineers, immediate colleagues, and beyond Google.

  • Perform rapid threat modeling of complex systems to quickly determine areas that warrant further investigation and security review.

  • Conduct research to identify and mitigate entire classes of vulnerabilities. Leverage AI tools and agents in your day-to-day work to scale your own capabilities.

  • Bachelor's degree or equivalent practical experience.

  • 2 years of experience with security assessments or security design reviews or threat modeling.

  • 2 years of experience with security engineering, computer and network security and security protocols.

  • 2 years of coding experience in one or more general purpose languages.

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

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