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 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.
• Plan and execute the verification of digital design blocks by understanding specifications and working with design engineers to define key verification scenarios.
• Develop, execute, and debug full-chip/system on a chip (SoC) tests on emulation platforms.
• Collaborate with design engineers to debug tests and ensure functional correctness of design blocks.
• Define and implement various coverage measures to capture stimulus and corner-case scenarios. Work with software and post-silicon validation teams to reproduce failures on emulation.
• Drive coverage analysis to identify verification gaps and demonstrate progress towards tape-out. Explore new verification and emulation methodologies and implement them.
Minimum qualifications:
• Bachelor's degree in Electrical Engineering, Computer Engineering, a related field, or equivalent practical experience.
• Experience with coding and scripting (e.g., C, C++, Perl, TCL, or Python), or similar.
Preferred qualifications:
• Master's degree in Electrical Engineering, or a related field.
• Bachelor's degree in Electrical Engineering, Computer Engineering, a related field, or equivalent practical experience.
• Experience with coding and scripting (e.g., C, C++, Perl, TCL, or Python), or similar.