채용
Benefits & Perks
•Flexible work arrangements
•Generous paid time off and holidays
•Parental leave
•Professional development budget
•Comprehensive health, dental, and vision insurance
•Flexible Hours
•Parental Leave
•Learning
•Healthcare
Required Skills
JavaScript
React
PostgreSQL
About the job
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.
As a Manufacturing Test 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 our 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 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.
The US base salary range for this full-time position is $138,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
-
Drive manufacturing test development for new and existing product designs. Architect and write test software to drive end-to-end test coverage based on product and quality requirements.
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Develop automated test scripts for functional and system tests using Python.
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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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Design, build, and deploy test platforms for Google's global manufacturing partners and develop automated test scripts for functional and system tests using Python.
Minimum qualifications
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
Preferred qualifications
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10 years of experience in manufacturing tests and software development using Python.
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Experience with creating end-to-end manufacturing test strategies from structural through functional and system tests.
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Experience with architecting complex manufacturing test solutions for high-performance compute-based products (i.e., GPUs).
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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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