채용
복지 및 혜택
•Parental Leave
•Healthcare
필수 스킬
Machine Learning
About the job
As a Staff Hardware Engineer, you will work on Machine Learning/AI hardware systems projects to craft the solutions for current and future data center deployments. You will work with Product teams to ensure that goals are met with systems and will work with ASIC/FPGA, Software, and Verification teams to ensure proper verification of features. You will also work with the manufacturing teams to ensure that designs are manufacturable and ready for volume production, and with the field teams to support systems that are deployed in the data center.
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 team behind Google's groundbreaking innovations, empowering the development of our 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.
The US base salary range for this full-time position is $174,000-$258,000 + 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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Gather system requirements, define architecture, execute hardware design, and product validation.
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Lead the bring up, validation, New Product Introduction (NPI), deployment, and sustaining of hardware solutions.
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Drive system development from concept through production.
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Lead debug and root cause analysis of deployed systems.
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Work cross-functionally with Hardware, Software, Power, Mechanical, Thermal, Validation, Signal Integrity, Manufacturing, and external vendors.
Minimum qualifications
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Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
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6 years of experience working in a hardware systems design, or 5 years of experience with an advanced degree.
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3 years of experience in technical leadership.
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Experience with power circuit design and signal integrity.
Preferred qualifications
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PhD in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
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10 years of experience with hardware, design and bring-up.
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3 years of experience in technical leadership or management.
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Experience in PCIe, DDR, Ethernet, USB, SPI, etc.
총 조회수
0
총 지원 클 릭 수
0
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
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