채용
About the job
Google's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver this state-of-the-art physical infrastructure. As a Manufacturing Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you’re right there alongside ensuring manufacturing processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google’s infrastructure needs and product specifications. Your work ensures the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Responsibilities
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Responsible for the quality and reliability of thermal deliverables throughout the life cycle. Drive cross-functional activities in supply chain for overall technical operational readiness in all NPI phases to mass production.
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Provide consultation to the design, manufacturing and commodity teams in qualification, and application of cutting-edge thermal technologies
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Assess suppliers’ capabilities from a quality perspective in new supplier selection activities. Conduct quality and manufacturing process audits.
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Work cross-functionally on processes to provide the data required to manage quality and reliability. Interface with suppliers regularlly to share PPM feedback from the fleet and drive return material authorization, corrective action requests, root cause, corrective action and failure analysis.
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Establish quality programs and process controls for early detection of issues, consistent quality and reliability, e.g. gauge R&R, Cpk's, 8D's. utilize DOE’s, FMEA and other Industry standard tools.
Minimum qualifications
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Bachelor’s degree in Mechanical Engineering, Industrial Engineering, or Thermal Engineering, or equivalent practical experience.
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8 years of experience in the thermal technology and manufacturing process.
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Experience in statistical product quality control, process capability, reliability, failure analysis, and process improvement.
Preferred qualifications
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Master's degree in Mechanical Engineering, Industrial Engineering, or Thermal Engineering, or equivalent practical experience.
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Certification in Quality (CQE, CQM, CRE, or CQA).
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10 years of experience in quality or reliability and thermal technology.
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Understanding of thermal management from infrastructure to chip including next generation cooling technologies, materials, components and solutions.
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Ability to travel as needed.
총 조회수
0
총 지원 클릭 수
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모의 지원자 수
0
스크랩
0
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Google 소개

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
뉴스 & 버즈
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3d ago
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·
3d ago