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About the job
Google's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver this state-of-the-art physical infrastructure.
As a Manufacturing Test Development Engineer, you evaluate the product designs and create the manufacturing test processes, tools and procedures behind the products powering Google’s Data Centers. When vendors build parts for the infrastructure, you are right there alongside ensuring manufacturing test processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google’s infrastructure needs and product specifications. Your work ensures the various pieces of Google’s infrastructure fit together perfectly and keep the systems humming along smoothly for a seamless user experience
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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Lead manufacturing test development for new and existing product designs, write test plans and drive end-to-end test coverage based on product and quality requirements.
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Develop automated test scripts for functional and system test using Python.
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Design, build and deploy test platforms for Google's global manufacturing partners.
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Analyze, troubleshoot and root cause manufacturing yield issues and field escapes. Drive issues to closure with preventive measures.
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Define the manufacturing test strategy for new products and work with the partners to develop the required test solutions.
Minimum qualifications
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Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
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5 years of experience in manufacturing test development or similar role.
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Experience in generating test plans and executing tests accordingly.
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Experience developing manufacturing test stations using custom electronics, fixture, and equipment.
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Experience developing test scripts using Python (or other scripting languages).
Preferred qualifications
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Master’s degree in Electrical Engineering, Computer Engineering, or Computer Science.
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5 years of experience in architecture and developing complex manufacturing test solutions for data center hardware, in particular networking and optics products.
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Experience with creating end-to-end manufacturing test strategies that cover from structural through functional and system test.
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Experience with engaging and collaborating with international teams and contract manufacturers.
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Ability to travel internationally as needed.
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Googleについて

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
従業員数
Mountain View
本社所在地
$1,700B
企業価値
レビュー
3.7
25件のレビュー
ワークライフバランス
3.8
報酬
4.2
企業文化
3.4
キャリア
3.9
経営陣
2.8
68%
友人に勧める
良い点
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
改善点
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
給与レンジ
57,502件のデータ
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
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Staff/L6
Director
Junior/L3 · Data Scientist L3
0件のレポート
$176,704
年収総額
基本給
-
ストック
-
ボーナス
-
$150,298
$203,110
面接体験
9件の面接
難易度
3.4
/ 5
期間
14-28週間
内定率
44%
体験
ポジティブ 0%
普通 56%
ネガティブ 44%
面接プロセス
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
ニュース&話題
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3d ago
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3d ago