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.
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 force 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.
Responsibilities
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Manage the supplier quality and reliability for optical circuit switch (OCS) components, from new product introduction (NPI) through end-of-life.
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Lead cross-functional initiatives to ensure the OCS supply chain's technical and operational readiness for mass production.
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Drive supplier selection and qualification by conducting on-site audits and serve as the subject matter expert to influence product roadmaps.
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Resolve critical fleet and factory issues by leading suppliers through root cause and corrective action (RCCA) and failure analysis (FA) processes.
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Develop, implement, and monitor advanced quality plans and process controls (e.g., FMEA, Cpk, etc.) to drive continuous improvement and maintain supplier partnerships.
Minimum qualifications
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Bachelor's degree in Quality Engineering, Electrical Engineering, or equivalent practical experience.
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8 years of experience in quality, reliability or product engineering.
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4 years of experience in OCS manufacturing processes.
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Experience with the manufacturing and test processes, defects, and quality standards for optical components (e.g., lasers, photodetectors, lenses, filters, fiber assemblies, waveguides, ASIC and PCBs with optical interfaces).
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Experience with hardware in industries such as servers, automotive, or aerospace.
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Ability to travel up to 20% of the time as required.
Preferred qualifications
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7 years of experience in supply chain management, procurement, or operations roles within a high-volume, complex manufacturing or technology environment.
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Experience in material readiness, production control, and supplier performance management.
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Experience across all phases of a product life-cycle from prototype to mass production to end-of-life.
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Experience in data-motivated decision-making.
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Ability to manage bills of materials (BOMs) and complex production schedules.
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Excellent investigative thinking, problem-solving, communication and presentation skills, with the ability to communicate status and risks to cross-functional audiences.
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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
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