Jobs
-
Collaborate with Architecture, Design, and Verification teams to develop new product bring-up, validation, characterization, and qualification strategies, as well as manufacturing test solutions for new High Performance Computing (HPC) products in advanced process technologies.
-
Verify test solutions on pre-silicon models (simulation or emulation) and develop ATE test modules, DC tests, binning, production, and characterization flows.
-
Develop and validate test programs on Automated Test Equipment (ATE) platforms for new product integration (NPI) in preparation for high-volume manufacturing (HVM), working with ATE vendors and internal cross-functional teams.
-
Develop tools, flows, and methodologies to continuously improve and automate the testing life cycle.
-
Influence and work with upstream and downstream partners to enable automated solutions to test problems.
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.
Google’s data centers are the most advanced in the world. Developing and deploying comprehensive manufacturing test and data analytics solutions for volume manufacturing at wafer fabs and OSAT’s. In this role, you will help to manufacture the SoC’s that power these data centers. You will create silicon in the most advanced technologies and follow it into the field to close the loop back to design and test for the next generation of chips. To assure performance and screen devices, you will help to integrate SoC technologies into devices and drive manufacturing test flows. You will drive yield improvement, cost optimization and work closely with cross functional teams to ensure the optimal test coverage in production to ensure So Cs. An understanding of IC flows, wafer processing, testing, qualification, diagnostics, and failure analysis is expected. 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.
-
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field, or equivalent practical experience.
-
5 years of experience in test engineering.
-
Experience in pre-silicon validation, test content generation, ATE program development, and post-silicon enabling from New Product Introduction through High Volume Manufacturing.
-
Experience with ASIC test methodologies (e.g., mbist, atpg, dft serdes, sensors).
-
Experience in automating test generation, validation, and analysis solution.
-
Experience in Python, Java, C# or C/C++ and Advantest or Teradyne ATE platforms.
Total Views
0
Apply Clicks
0
Weekly mock applicants
0
Bookmarks
0
Similar jobs
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
57,502 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 per 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
News & Buzz
Google Pixel And Highsnobiety Build A Talent Pipeline For Fashion - Forbes
Forbes
News
·
4d ago
Forget Photos and Maps, this is the Google app I can't live without anymore - Android Authority
Android Authority
News
·
4d ago
Google is dropping Samsung modems for the Pixel 11, and it's the only upgrade I actually care about - Android Police
Android Police
News
·
4d ago
Google could pay $135 million settlement to U.S. Android users. How to get your money. - Mashable
Mashable
News
·
4d ago



