SoC Test Automation and Infrastructure Engineer, Platforms

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.Minimum qualifications:

• 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.
  
  

Preferred qualifications:

• Experience in creating end-to-end manufacturing test strategies for PCBA and systems that cover structural through functional and system tests.
  
  

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.

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 SoCs. 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.

Responsibilities

• 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.
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .