SoC Test Hardware Engineer, Google Cloud

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 5 years of experience in multi-disciplinary semiconductor hardware engineering and systems.
• Experience in loadboard or probecard design, including SI/PI simulations, layout reviews, and schematic reviews.
• Experience in Automated Test Equipment (ATE) test methodologies and their impact on hardware requirements/design.

Preferred qualifications:

• Experience with semiconductor handlers, including Chroma or Hontech.
• Experience in BurnIn hardware.
• Experience managing the complete test hardware life-cycle, from initial design and NPI enablement through to final production deployment.
• Experience in multi-disciplinary thermo-electro-mechanical systems.

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.

In this role, you will help to manufacture the SoC’s that power these data centers by developing and deploying comprehensive manufacturing test and data analytics solutions for high volume manufacturing at wafer fabs and OSAT’s. This is an opportunity to 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. 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 SoCs. You will have an understanding of IC flows, wafer processing, testing, qualification, diagnostics, and failure analysis. You will help design, deploy and maintain hardware required to screen high performance compute silicon at various stages of the manufacturing pipeline.

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.

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.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.

Responsibilities

• Manage ATE platform setup (including loadboard/probecard design) and change kit, SLT bench platform, and handler.
• Identify and screen potential vendors (including technological and budgetary assessment) and track and verify progress at all stages of the design.
• Define probecard and loadboard requirements based on testing strategy, accounting for test time, tester memory, and budget.
• Review SI/PI simulations and final design signoff.
• Validate probecard and loadboard hardware and open testing pipeline.