채용
Benefits & Perks
•Parental leave
•401(k) matching
•Development budget
•Flexible work
•Parental Leave
Required Skills
Excel
SAP
SQL
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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Own the manufacturing plan, lead reviews between design and operations engineering to drive deliverables that are key to implementing the manufacturing plan, design for excellence and test strategy.
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Lead the technology assessment for new products. Work with the product team to highlight risks and develop mitigation plans to ensure the product meets the specifications.
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Provide on-site and remote support for pre-production builds. Ensure factory readiness, support manufacturing line bring-up, provide product debug training and gather feedback on build issues. Manage the bonepile and drive yield bridge analysis to improve product quality.
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Partner with quality engineers to establish product quality and reliability targets. Validate product qualification plans, support reliability testing and review results.
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Coordinate release of NPI BOMs into PDM system. Perform technical review of product changes and assess impact on supply chain.
Minimum qualifications
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Bachelor's degree in Electrical Engineering, or equivalent practical experience.
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8 years of experience in manufacturing, new product introduction (NPI) or hardware design.
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Experience in system, functional, and board level testing.
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Experience in driving root cause analysis, corrective actions and continuous process improvements, and working with cross-functional teams, contract manufacturers and suppliers.
Preferred qualifications
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Master's degree in Electrical Engineering, or equivalent practical experience.
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Experience developing solid, effective technical relationships with contract manufacturers.
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Understanding of Automatic Test Equipment (ATE) tests, Design for X (DFX), quality, and reliability.
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Ability to successfully create and execute a design validation test plan on a complex electronic assembly.
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Ability to be well-focused, give attention to details, and commit to produce a timely and highly accurate work product.
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Excellent investigative, organizational, written and verbal communication skills.
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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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