Silicon Validation Engineer, Google Cloud

1 Month ago • All levels • Research & Development

Job Summary

Job Description

As a Silicon Validation Engineer at Google Cloud, you'll be part of a team developing custom silicon solutions. Responsibilities include defining, developing, and executing post-silicon validation content on pre-silicon setups and real silicon platforms. You will drive silicon from chip to product, debug issues across teams (Firmware, Software, Design, DV, ARCH, and production), ensure quality functional coverage for Google designs, and contribute to innovation in hardware experiences. The role involves working with board schematics, layout, and debug methodologies using lab equipment, and experience with scripting for automation is preferred. This position is crucial for the development of Google's direct-to-consumer products and involves close collaboration with cross-functional teams.
Must have:
  • Bachelor's degree in relevant field
  • Experience with functional tests for silicon validation (C/C++)
  • Experience in silicon bring-up, validation, characterization, and qualification
  • Debug and investigate issues across cross-functional teams
Good to have:
  • Experience with board schematics, layout, and debug
  • Hardware prototyping experience
  • Scripting (Python) for automation
  • Knowledge of SoC architecture, including boot flows

Job Details


Minimum qualifications:

  • Bachelor's degree in Electrical/Computer Engineering, Computer Science, related field, or equivalent practical experience.
  • Experience with functional tests for silicon validation, (i.e., writing C or C++) or developing firmware, and embedded software.
  • Experience in silicon bring-up, functional validation, characterizing, and qualifying silicon.

Preferred qualifications:

  • Experience with board schematics, layout, and debug methodologies using lab equipment.
  • Experience with hardware prototyping, including hardware or software integration (e.g., pre-silicon use of emulation, software-based test, and diagnostics development, etc.).
  • Experience with scripting (e.g., Python) for automation development.
  • Experience in launching design, verification, or emulation.
  • Knowledge of SoC architecture, including boot flows.

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.

As a Hardware Engineer, you will design and build the hardware, software, and networking technologies that power all of Google's services. You will work on everything from low-level circuit design to large system architecture, overseeing the development process all the way through to manufacturing. Your work will shape the machinery used in Google's data centers, impacting millions of users worldwide.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities

  • Define, develop and execute post-silicon validation content on both pre-silicon setups and real silicon platforms in the lab.
  • Drive silicon from being a chip towards becoming a product.
  • Debug and investigate issues along cross-functional teams such as Firmware (FW), Software (SW), Design, DV, ARCH and multiple production teams.
  • Provide quality functional coverage for Google designs.

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