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Benefits & Perks
•Generous paid time off and holidays
•401(k) matching
•Comprehensive health, dental, and vision insurance
•Parental leave
•Professional development budget
•Healthcare
•Parental Leave
•Learning
Required Skills
Python
JavaScript
React
About the job
Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability.
As a Senior SoC System Test Engineer, you will help to integrate SoC technologies into devices and drive manufacturing test flows to assure performance and screen devices. You will drive yield improvement, cost optimization, and work closely with cross-functional teams to ensure the optimal test coverage in production to ensure high quality So Cs. You will work with various groups to deploy screening methodologies and flows for data processing, analytics, and diagnostics. You will drive the release of cost effective production test solutions into mass production to hit yield and quality goals.
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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Collaborate with Architecture, Design and Verification teams to develop new product bring-up, validation, characterization, qualification strategies, and manufacturing test solutions for new High Performance Computing (HPC) products in advanced process technologies.
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Validate test solutions on system-level platforms and prepare for mass production.
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Work with hardware and software teams to evaluate functional device yield and performance across various operating conditions.
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Develop effective production screens to reduce Defective Parts per Million (DPPM).
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Assess test escapees and localize failures, implement containment measures in the manufacturing test flow, and partner with manufacturing, test, quality and reliability teams to identify root cause and implement corrective actions.
Minimum qualifications
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Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
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5 years of experience in system level test engineering.
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Experience with Python or C/C++.
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Experience in silicon System level components/LinuxOS.
Preferred qualifications
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Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related fields.
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10 years of experience in test engineering and product engineering.
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Experience with CPU/GPU and SoC architecture, design, validation and debug.
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Experience in SLT hardware design and proliferation (e.g., system boards, peripheral devices, sockets, handler kits, and thermal control solutions).
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Ability to venture into, and improve, all aspects of post-silicon testing from definition to realization.
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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%
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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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