Silicon Validation Engineer, Google Cloud

Google
Sunnyvale, CA, USA

About the job

In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.

Responsibilities

Own the bringup and New Product Introduction (NPI) phases of the silicon development lifecycle.\nEnable custom silicon products within the platform infrastructure systems.\nIntegrate and validate complex hardware/software designs in pre-silicon through functional bringup.\nDevelop the integration plan, coordinate hardware and software delivery, and create necessary tests for validation.\nDevelop detailed test plans, based on design specifications and coordinate with a cross-functional teams (e.g., architecture, design, software, firmware).\nPerform long-term system characterization.\nDebug and help root-cause failures, providing feedback to improve features like power management quality, performance, and reliability through generations of designs, including in pre-silicon prototyping platforms as well as through post-silicon bringup and production.\nDesign, develop, operate, and maintain software based validation tests.

Qualifications

Minimum

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.\n3 years of experience with silicon design or with semiconductors (e.g., digital design, silicon validation, computer architecture).\nExperience scripting in a programming language like Python or equivalent.

Preferred

Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.\nExperience developing firmware, embedded software, or functional tests for silicon validation.\nExperience in silicon validation bringing up, characterizing, and qualifying silicon.\nExperience with high speed interfaces, ASIC interfaces, memory systems (HBM), or power system features and high-power ASICs.