In this role, you will join a team working on SoC-level RTL design for our data center accelerators. You will design Register-Transfer Level (RTL) IP with the focus on management and control subsystem, also participate in developing infrastructure and methodology that form the foundation of our SoCs (i.e., clocking, reset, error handling, debug, chip management and SOC chassis etc.). You will build a global understanding of how our accelerators are built from concept to production. This is a highly cross-functional role that will require you to coordinate and co-design with our software and system hardware counterparts. You will utilize, a background in RTL design and the ability to lead multi-faceted efforts involving many stakeholders.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
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