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Benefits & Perks
•Professional development budget
•401(k) matching
•Generous paid time off and holidays
•Competitive salary and equity package
•Flexible work arrangements
•Learning
•Equity
•Flexible Hours
Required Skills
JavaScript
TypeScript
React
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 Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you’re right there alongside ensuring manufacturing 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 our 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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Responsible for the quality and reliability of thermal deliverables throughout the life-cycle. Drive cross-functional activities in the supply chain for overall technical operational readiness in all New Product Introduction (NPI) phases.
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Work cross-functionally to define and ensure processes in place to provide the data required to manage quality and reliability. Interface with suppliers to share feedback from the fleet and drive Return Return Merchandise Authorization (RMA), Corrective Action Request (CAR), Root Cause and RCCA, and Failure Analysis (FA).
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Establish quality programs and process controls for early detection of issues and to ensure highest level of quality and reliability is delivered, such as Cpk's, 8D's, DOE’s, FMEA and other Industry standard tools to identify and address risks and optimize processes.
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Provide on-site management for critical suppliers to ensure high quality products are built and delivered.
Minimum qualifications
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Bachelor’s degree in Mechanical Engineering, Industrial Engineering, or Thermal Engineering or a related field, or equivalent practical experience.
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8 years of experience in the Thermal technology and manufacturing process.
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Experience in statistical product quality control, process capability, reliability, failure analysis, and process improvement.
Preferred qualifications
- Master's degree in Mechanical Engineering, Industrial Engineering, or Thermal Engineering or a related field, or equivalent practical experience.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
3.7
25 reviews
Work Life Balance
3.8
Compensation
4.2
Culture
3.4
Career
3.9
Management
2.8
68%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
Cons
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
Salary Ranges
63,375 data points
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0 reports
$176,704
total / year
Base
-
Stock
-
Bonus
-
$150,298
$203,110
Interview Experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer Rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview Process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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