Join a pioneering team dedicated to crafting custom silicon solutions that drive the innovation behind Google's direct-to-consumer products. You will be instrumental in shaping the future of hardware experiences, contributing to products used by millions globally. Your expertise will be key in delivering next-generation performance, efficiency, and seamless integration.

Our mission at Google is to organize the world's information and make it universally accessible and useful. Our team integrates Google's strengths in AI, Software, and Hardware to create truly helpful and cutting-edge experiences. We are committed to researching, designing, and developing advanced technologies and hardware to enhance computing speed, fluidity, and power, ultimately improving lives through technology.

Lead and oversee all aspects of verification for complex System-on-Chip (SoC) architectures, ensuring the highest quality from pre-silicon stages through tape-out.

Direct and mentor high-achieving engineering teams, fostering technical excellence and supporting professional development.

Spearhead SoC-level pre-silicon emulation strategies, utilizing platforms like Palladium and Zebu to accelerate hardware-software co-verification and identify system-level bugs early.

Manage intricate post-silicon debug processes, collaborating with validation teams to resolve silicon issues and correlate verification coverage with actual hardware behavior.

Develop and enhance logic verification infrastructure and advanced methodologies across the SoC, maintaining strong alignment with architecture, design, and cross-functional teams.

A Bachelor's degree in Electrical Engineering, Computer Science, or a related field, or equivalent practical experience, is required.

Possess a minimum of 15 years of experience in front-end design or design verification.

Demonstrated experience with power-aware verification methodologies, fabric and interconnect architectures, and cache coherency protocols.

Proficiency in SystemVerilog, Verilog, and scripting languages such as Python or Perl is essential.

Experience with pre-silicon emulation platforms and hardware accelerators, including concepts like UVM, is a strong asset. A Master's degree or equivalent practical experience is preferred.