招聘
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.
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 portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
The US base salary range for this full-time position is $120,000-$172,000 + 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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Manage multiple projects, lead cross-team initiatives, and identify/implement process improvements for the organization.
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Provide technical leadership, set priorities, complete root cause analysis, and drive resolution of technical issues for robust product quality and predictable field deployment.
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Initiate, drive, and implement innovative product, process, tools development/improvement projects, separately and in a cross-functional environment.
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Monitor, review and present product performance data and metrics to stakeholders in a concise and clear way that enables data-driven decision making.
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Travel up to 20% of the time as needed.
Minimum qualifications
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Bachelor's degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, Materials Engineering, or related engineering field, or equivalent practical experience.
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5 years of experience working in computing hardware quality, product engineering, test engineering, or electronic hardware systems issue resolution.
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Experience performing root cause failure analysis or process improvements in a data center, industrial, or manufacturing environments.
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Experience working with reliability and quality test data or manufacturing execution systems.
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Experience in data analysis and visualization using SQL, JMP, or Python.
Preferred qualifications
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Master's degree in Electrical, Mechanical, Industrial, Materials or other relevant engineering discipline.
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5 years of experience in quality, manufacturing or product engineering of cloud hardware technology or electronic hardware systems.
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Experience with advanced statistical or statistics based methodologies (e.g., design of experiments, statistical process controls, six sigma, etc.).
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Experience leading cross-functional engineering teams using a practical and solution-oriented approach.
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Experience in technical leadership, project management, and executive communication.
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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
Mid/L4
Senior/L5
Mid/L4 · Technical Program Manager
1,213份报告
$365,196
年薪总额
基本工资
$187,658
股票
$130,822
奖金
$46,717
$242,776
$576,787
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
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