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.
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, software, design, design verification (DV), architecture (ARCH) and multiple production teams.
- Provides a quality functional coverage for Google designs.
Qualifications
Minimum qualifications:
- Bachelor's degree in Electrical/Computer Engineering, Computer Science, related field, or equivalent practical experience.
- 8 years of experience with functional tests for silicon validation, (i.e., writing C or C++) or developing firmware, and embedded software.
- 5 years of experience in silicon bring-up, functional validation, characterizing, and qualifying silicon.
Preferred qualifications:
- Experience with experience with Core architecture knowledge
- Experience with hardware prototyping, including hardware/software integration (i.e., pre-silicon use of emulation, software-based test, and diagnostics development).
- Proficiency in code and system health, diagnosis and resolution, and software test engineering.
- Understanding of object oriented programming and functional programming.
- Ability to write and understand SystemVerilog register transfer level (RTL) code.
- Excellent software skills and design practices.