招聘
About the job
In this role, your core mission is to bridge the gap between innovation and execution, ensuring the seamless flow of the product life-cycle from concept to delivery. You will drive product excellence through early engagement, utilizing comprehensive Design for Excellence (DFx) feasibility reviews and vendor capability assessments to eliminate red flag features and guarantee factory readiness.
You will ensure operational precision by delivering accurate Cap Ex and tooling estimates, conducting should-cost analysis, and performing rigorous capacity validation via run-at-rate studies. You will be dedicated to building a resilient supply chain through proactive risk mitigation and test strategies. Furthermore, you will advocate operational excellence by optimizing material flow and driving continuous improvement through Lean manufacturing principles and Six Sigma methodologies to maximize efficiency and quality.
Responsibilities
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Lead DFx reviews and generate Design for Manufacturing (DFM) reports during the concept readiness phase to identify and resolve red-flag features before design freeze.
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Validate production readiness through Run-at-Rate Validation reports and line balancing charts to align Takt time with cycle time.
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Execute vendor assessments and factory readiness gap analyses. Enforce process quality by reviewing process capability reports (Process Capability Index (Cpk) > 1.33), control plans, and Measurement Systems Analysis reports during the pilot phase.
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Advocate risk management by leading PFMEAs with RPN reduction goals.
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Conduct Pareto and Eight Disciplines (8D) root cause analyses to resolve manufacturing issues. Optimize factory logistics via process flow diagrams and material plans to streamline production line supply. Validate test strategies and fixture designs, ensuring formal approval and sign-off. Oversee Engineering Change Order (ECO) implementations to re-validate fixtures as required.
Minimum qualifications
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Bachelor's degree in Industrial engineering, Mechanical, or Electrical Engineering, a related technical field, or equivalent practical experience.
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8 years of experience working as a Manufacturing Engineer in an industrial environment, within the Data Center space or Automotive production.
Preferred qualifications
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Certification in Six Sigma Black Belt, Lean Manufacturing.
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Experience with supplier technical evaluations, qualifications, and managing supplier relationships, with engineering and design software for modeling, analysis, and documentation.
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Experience with industry standards, including design guidelines for data center infrastructure.
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Understanding of Data Center cooling, with knowledge of electromechanical, networking, and mechanical assembly processes, tooling and equipment.
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Ability to lead complex manufacturing projects and mentor junior engineers, and to conduct data analysis to identify trends, root causes of defects, and measure manufacturing performance.
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Ability to travel up to 30%, and to identify and resolve manufacturing and quality issues.
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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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