• Own microarchitecture and implementation of complex IPs and subsystems.

• Take ownership of RTL implementation and quality checks of one or more modules.

• Contribute to design methodology, libraries, debug, code review in coordination with other IPs Design Verification (DV) teams and physical design teams.

• Identify and drive Power, Performance and Area (PPA) improvements for the modules owned.

• Participate in synthesis, timing/power closure, and FPGA/silicon bring-up.

In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive 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.

In this role, you will be part of a team developing So Cs used to accelerate Machine Learning (ML) computation in data centers. You will solve technical problems with innovative and practical logic solutions, and evaluate design options with complexity, performance, power and area in mind. You will collaborate with members of architecture, verification, power and performance, physical design etc. to specify and deliver high quality designs for next generation data center accelerators.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

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

• 8 years of experience in Application-Specific Integrated Circuit/System on a chip (ASIC/SoC) development with Verilog/System Verilog.

• Experience in micro-architecture and design of IPs and Subsystems.

• Experience in ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT).