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Job Description
About the role
In most instances, this position requires in-person interviews as part of the hiring process.
What you'll do
Collaborate with Architecture, Design and Verification teams to develop new product bring-up, validation, characterization, and qualification strategies and 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 and binning 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.
Product sustain support, including volume data analysis, test time and yield improvements, assess test escapees and Return Merchandise Authorization (RMAs), localize failures, implement containment measures and partner with design, manufacturing, quality and reliability teams to root cause and implement corrective actions.
Develop tools, flows and methodologies to continuously improve and automate the testing life cycle.
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 .
Nice to have
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
4 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 (NPI) through High Volume Manufacturing (HVM).
Experience in Python, Java, C# or C/C++ and Advantest or Teradyne ATE platforms.
Experience with ASIC test methodologies (e.g., mbist, atpg, dft serdes, sensors).
Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
10 years of experience in test engineering, including product engineering.
Experience with CPU/GPU SoC architecture, design, validation and debug.
Experience in advanced testing methodologies and data analysis, including system to tester correlation, yield and test time analysis and improvement, etc.
Expertise in developing automations for pre-silicon verification and post-silicon test-generation/test-program domains.
Ability to venture into, and improve, all aspects of post-silicon testing from definition to realization.
About the jobBe 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.
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 team 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.