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.
In this role, you will take part in CPU development, leading the CPU architecture and microarchitecture definitions. You will collaborate with software and hardware architects, design, verification, and physical implementation teams. You will influence the building of processor performance analysis infrastructure with modeling, emulation, and silicon measurement and drive power and performance optimizations for our specific customers workloads.
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 Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Lead architectural definition of CPU core designs, facilitate and make final decisions.
Participate in and influence the building of processor performance analysis infrastructure.
Influence the development of architectural models with varying configurations across product categories.
Perform Performance, Power, Area (PPA) trade-off analysis for architecture and microarchitecture features, communicate analysis results in both qualitative and quantitative fashion to support decisions.
Requirements: Minimum qualifications:
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
8 years of experience with microprocessor architecture and related technologies and algorithms.
Experience with CPU architecture performance analysis, tools, and simulators at different abstraction levels (i.e., cycle accurate, functional, emulation).
Preferred qualifications:
Master's degree in Electrical Engineering, Computer Engineering, or Computer Science, with an emphasis on computer architecture.
Experience analyzing workloads and definitions of microarchitectural features.
Knowledge of ARM architecture.
Knowledge of CPU Power Management.
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