招聘
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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 innovative AI solutions.
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Bachelor's degree in Electrical Engineering, Power Engineering, a related technical field, or equivalent practical experience.
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10 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 GPU/TPU architectures, AI system integration, and performance techniques.
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Experience with data center infrastructure, including power, networking, storage, and cooling systems.
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Experience with cost and performance modeling for data center infrastructure, and ML hardware.
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关于Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
员工数
Mountain View
总部位置
$1,700B
企业估值
评价
3.7
25条评价
工作生活平衡
3.8
薪酬
4.2
企业文化
3.4
职业发展
3.9
管理层
2.8
68%
推荐给朋友
优点
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
缺点
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
薪资范围
57,502个数据点
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0份报告
$176,704
年薪总额
基本工资
-
股票
-
奖金
-
$150,298
$203,110
面试经验
9次面试
难度
3.4
/ 5
时长
14-28周
录用率
44%
体验
正面 0%
中性 56%
负面 44%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
新闻动态
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3d ago
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3d ago
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3d ago
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