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
Lead CAD methodology engineers to provide enablement and support for RTL Design teams.
Partner with chip project teams to influence and standardize design methodology across projects.
Perform or guide technical evaluations of tools for possible deployment.
Collaborate with teams across Google to identify and create strategic opportunities for improved chip design across Google.
Participate in design reviews and track issue resolution and engage in technical and schedule trade-off discussions.
Qualifications
Minimum
Bachelor's degree in Electrical Engineering or a related field, or equivalent practical experience.
8 years of experience with SystemVerilog, hardware design, automation, design verification test.
5 years of experience working with Computer-aided design (CAD).
Preferred
Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science or a related field.
Experience planning, coding, and deploying new tools and flows to users.
Knowledge of the chip design process and methodology for RTL quality.
Ability to present and explain novel methods to users.