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트렌딩 기업

트렌딩 기업

채용

채용Google

Data Center Equipment Manufacturing

Google

Data Center Equipment Manufacturing

Google

·

On-site

·

Full-time

·

2w ago

About the job

In this role, your core mission is to bridge the gap between innovation and execution, ensuring the seamless flow of the product life-cycle from concept to delivery. You will drive product excellence through early engagement, utilizing comprehensive Design for Excellence (DFx) feasibility reviews and vendor capability assessments to eliminate red flag features and guarantee factory readiness.

You will ensure operational precision by delivering accurate Cap Ex and tooling estimates, conducting should-cost analysis, and performing rigorous capacity validation via run-at-rate studies. You will be dedicated to building a resilient supply chain through proactive risk mitigation and test strategies. Furthermore, you will advocate operational excellence by optimizing material flow and driving continuous improvement through Lean manufacturing principles and Six Sigma methodologies to maximize efficiency and quality.

Responsibilities

  • Lead DFx reviews and generate Design for Manufacturing (DFM) reports during the concept readiness phase to identify and resolve red-flag features before design freeze.

  • Validate production readiness through Run-at-Rate Validation reports and line balancing charts to align Takt time with cycle time.

  • Execute vendor assessments and factory readiness gap analyses. Enforce process quality by reviewing process capability reports (Process Capability Index (Cpk) > 1.33), control plans, and Measurement Systems Analysis reports during the pilot phase.

  • Advocate risk management by leading PFMEAs with RPN reduction goals.

  • Conduct Pareto and Eight Disciplines (8D) root cause analyses to resolve manufacturing issues. Optimize factory logistics via process flow diagrams and material plans to streamline production line supply. Validate test strategies and fixture designs, ensuring formal approval and sign-off. Oversee Engineering Change Order (ECO) implementations to re-validate fixtures as required.

Minimum qualifications

  • Bachelor's degree in Industrial engineering, Mechanical, or Electrical Engineering, a related technical field, or equivalent practical experience.

  • 8 years of experience working as a Manufacturing Engineer in an industrial environment, within the Data Center space or Automotive production.

Preferred qualifications

  • Certification in Six Sigma Black Belt, Lean Manufacturing.

  • Experience with supplier technical evaluations, qualifications, and managing supplier relationships, with engineering and design software for modeling, analysis, and documentation.

  • Experience with industry standards, including design guidelines for data center infrastructure.

  • Understanding of Data Center cooling, with knowledge of electromechanical, networking, and mechanical assembly processes, tooling and equipment.

  • Ability to lead complex manufacturing projects and mentor junior engineers, and to conduct data analysis to identify trends, root causes of defects, and measure manufacturing performance.

  • Ability to travel up to 30%, and to identify and resolve manufacturing and quality issues.

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