
Organizing the world's information and making it universally accessible.
Manufacturing Test Engineering Manager, Manufacturing System
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Build and manage the Manufacturing Rack Test and System Engineering teams supporting Google's Platform deployed in data centers.
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Develop team strategy, goal and quarterly objectives, aligning with organizational priorities. Assess and manage team performance and development plan.
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Balance team workload and develop staffing plans. Partner with staffing throughout the hiring process.
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Oversee the development and deployment of manufacturing rack test NPIs; provide technical expertise and leadership throughout product lifecycles. Drive DFx and testability into new products.
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Drive the development of manufacturing test executive software and test automation frameworks to enhance manufacturing test optimization and efficiency. Communicate effectively with leadership and stakeholders, providing timely updates on test status, risk assessments, and product quality.
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 Manufacturing Operations team is responsible for providing the manufacturing capability to deliver the physical infrastructure.
As a Manufacturing Rack Test and System Engineering Manager, you will assess product designs and architect the manufacturing rack test processes and solutions necessary for NPI and production readiness. You will also lead the development of software tools and automation frameworks to ensure that manufacturing systems and infrastructure are optimized to support global production. You will possess a deep understanding of manufacturing test engineering principles, software development and deployment, and a passion for delivering high-quality solutions in a dynamic environment. You will collaborate closely with cross-functional teams, including Hardware Engineering, Software Engineering, Test Engineering, Manufacturing Operations, and Quality Assurance, to define manufacturing test strategies, drive test development and manufacturing optimization, and resolve technical challenges.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 team 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.
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Bachelor's degree in Electrical Engineering, Computer Engineering, Software Engineering, a related field or equivalent practical experience.
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8 years of experience in the manufacturing or test engineering field.
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5 years of experience in people management.
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Experience managing multiple projects, and an engineering team.
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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
10条评价
4.5
10条评价
工作生活平衡
3.2
薪酬
4.3
企业文化
4.1
职业发展
4.2
管理层
3.8
82%
推荐率
优点
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
缺点
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
薪资范围
57,503个数据点
Mid/L4
Mid/L4 · Accessibility Analyst
1份报告
$214,500
年薪总额
基本工资
$165,000
股票
-
奖金
-
$214,500
$214,500
面试评价
9条评价
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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