채용
About the job
We are dedicated to delivering laboratory infrastructure and expert engineers to facilitate Google Cloud in achieving excellence in hardware testing, automation, prototyping, product quality, and innovative endeavors. Our efforts maximize resources, ensure product excellence, and accelerate time to market. The hardware solutions supported by the Product Infrastructure Engineering Test Infrastructure Network (PIE TIN) form the fundamental infrastructure of Google's Data Centers and Mini Clusters worldwide.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
The US base salary range for this full-time position is $189,000-$274,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
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Lead a specialized hardware engineering team supporting New Product Introduction (NPI) projects, collaborating with Project Managers to prioritize workloads and maintain high performance in a changing environments.
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Perform Linux and Windows Operating System (OS) administration, including root-cause analysis for complex network issues, OS debugging, and engineering test setup maintenance.
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Partner with cross-functional teams to execute hardware assembly, firmware updates, and tool programming during critical project bring-up phases.
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Manage the end-to-end hardware supply chain, including component allocation, inventory of high-volume consumables, and the maintenance of a safe, organized lab environment.
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Increase operational efficiency by developing standardized procedures and automation tools for data collection, population, and routine lab administrative tasks.
Minimum qualifications
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Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or equivalent practical experience.
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6 years of experience working in a lab environment.
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3 years of experience in technical leadership.
Preferred qualifications
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Certification in RHCE or CCNA.
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7 years of experience working in an Engineering laboratory environment.
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Experience working with cross-functional teams on bring up tasks (e.g., hardware assembly, programming with hardware tools, and firmware updates).
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Experience managing and organizing lab inventory of consumables by lab users.
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Experience maintaining an organized, clean, and safe operating lab.
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Ability to multi-task in a changing environment.
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총 지원 클릭 수
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모의 지원자 수
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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
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