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About the job
Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians.
With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical).
Data Center systems architects enable new infrastructure technology and IT technology insertion into a modular data center portfolio aimed at improving development and deployment velocity.
In this role, on the system architecture team, you will be responsible for defining, implementing, and maintaining critical data center system architecture and interfaces between and within product areas to enable data center capacity delivery and efficient/accelerated deployment of IT across global footprint.
You will also lead investigations and innovations in integration of IT racks into the data centers, a full stack optimization of IT and data center design, focusing on machine learning applications.
The US base salary range for this full-time position is $144,000-$209,000 + 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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Architect and optimize data centers for large-scale AI/ML deployments, with an understanding of GPU/TPU architecture and system integration to maximize performance and efficiency.
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Identify and implement solutions to accelerate project timelines and reduce infrastructure costs while maintaining high performance standards.
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Evaluate emerging technologies and influence industry trends to ensure our data centers are aligned with the latest ML advancements.
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Partner with internal teams and hardware vendors to troubleshoot performance issues, influence product roadmaps, and integrate AI solutions.
Minimum qualifications
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Bachelor's degree in Electrical Engineering, Power Engineering, a related technical field, or equivalent practical experience.
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5 years of experience in mission critical facility design and construction environments.
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5 years of experience in designing and optimizing data centers, with a focus on machine learning systems.
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Experience with cost and performance modeling for data center infrastructure.
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Experience in data center infrastructure, including power, networking, storage, and cooling systems.
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Experience in GPU/TPU architectures, AI system integration, and performance techniques.
Preferred qualifications
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Master's degree in Engineering, Business or other relevant field.
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Professional Engineering (PE) license.
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Experience in estimating, electrical design, operation, and commissioning of substations, switchgear, ATP/ATS, emergency power systems and their control systems, power monitoring, and electrical protection.
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Experience in design, construction, and commissioning of high voltage substations, medium or low voltage electrical distribution systems, AC/DC systems, and associated power management or SCADA tools.
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Experience with cross-discipline teams (e.g., structural, civil, IT/Telecom, security, mechanical, architectural).
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Experience working with data center equipment and environments (e.g., switchgear, generators, transformers, controls, security monitoring systems, fire safety systems).
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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
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News
·
3d ago