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About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Google is not a conventional company, and we don’t intend to become one. True, we share attributes with the world’s most successful organizations – a focus on innovation and smart business practices – but even as we continue to grow, we’re committed to retaining a small-company feel. At Google, we know every employee has something important to say, and that every employee is integral to our success. Googlers thrive in small, focused teams and high-energy environments, believe in technology's ability to change the world, and are as passionate about their lives as they are about their work.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product services possible.
The Google Platforms Infrastructure Engineering team designs, builds and collaborates on hardware, software and networking technologies that power all of Google's services.
As a Hardware Validation Lead, you will design and architect validation methodologies and processes across the test horizontal for systems that are the heart of the computing infrastructure. Your work has the potential to shape the machinery that goes into our data centers affecting Google users.
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 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.
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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Design and evaluate system and subsystem hardware testing methodologies for data center hardware, covering electrical, functional, stress, and system-level testing.
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Assess, structure, and formulate best practices to improve validation for slow speed interfaces like SPI and I2C, and high speed interfaces like PCIe, Ethernet, and DDR.
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Develop strategy and roadmap for test infrastructure and process to meet future technology and portfolio requirements while defining high level architecture for product hardware validation.
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Gather requirements, define high level architecture, execute strategy for product hardware validation.
Work closely with engineering, manufacturing, product, and deployment teams to support deployment and field support. -
Collaborate with external technology and system partners, to understand capabilities and industry trends, and represent Google’s technical requirements with these partners. Partner with software development and validation teams on end-to-end qualification and verification strategy and planning.
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 data center systems architecture, design, hardware bring-up and validation technical environment.
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3 years of experience in technical leadership.
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Experience partnering with industry leaders on evaluating, defining and driving test methodologies for hardware systems.
Preferred qualifications
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Master's degree in Electrical Engineering, Mechanical Engineering or equivalent practical experience.
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15 years of experience working in data center systems architecture, design, hardware bring-up and validation.
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Experience with leadership in defining test processes and solutions for large hardware organizations.
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Knowledge of data center and hardware design, testing and deployment methodologies and issues.
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Understanding of hardware architecture, electrical validation, including test methodologies for high speed interfaces, like Peripheral Component Interconnect Express (PCIe), Compute Express Link (CXL), Ethernet and Double Data Rate (DDR).
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Ability to solve system issues, technical innovation and driving technical roadmaps.
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スクラップ
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Googleについて

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
従業員数
Mountain View
本社所在地
$1,700B
企業価値
レビュー
3.7
25件のレビュー
ワークライフバランス
3.8
報酬
4.2
企業文化
3.4
キャリア
3.9
経営陣
2.8
68%
友人に勧める
良い点
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
改善点
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
給与レンジ
57,502件のデータ
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0件のレポート
$176,704
年収総額
基本給
-
ストック
-
ボーナス
-
$150,298
$203,110
面接体験
9件の面接
難易度
3.4
/ 5
期間
14-28週間
内定率
44%
体験
ポジティブ 0%
普通 56%
ネガティブ 44%
面接プロセス
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
ニュース&話題
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3d ago