About the job

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.

As part of the Platform System Architecture team, you will leverage the expertise in computer and AI/ML architecture, Power, Performance, and Area (PPA) trade-offs, mobile SoC AI/ML workloads analysis, ability to traverse across the Software (SW)/Hardware (HW) stack to influence IP and SoC architecture for the Tensor SoC to bring in the latest AI/ML user experience on Pixel devices.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Responsibilities

• Influence Tensor SoC architecture decisions for PPA working cross-functionally with SW/HW architects, design teams, and research teams to enable the industrial best user experience on Pixel phone devices empowered by the latest and the most advanced Generative AI technologies provided by Google research.

• Leverage a data driven approach through profiling, simulation and modeling, drive consensus around architectural decisions across the entire silicon organization to solve system design problems.

• Be the primary owner of the architecture specifications, system design documentation, workload analysis, modeling and projection to influence and define future SoC architecture.

Minimum qualifications

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

• 8 years of experience with computer architecture concepts, including micro architecture, cache hierarchy, pipelining, and memory subsystems.

• 3 years of experience working with Mobile or Embedded So Cs architecture or use case system design.

Preferred qualifications

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science.

• 5 years of experience working with Mobile or Embedded So Cs related to system design to improve use case level power and performance.

• Experience driving system architecture decisions across SW/HW teams within an organization to build up the consensus and translate ideas into architecture specifications.

• Experience with Android Architecture, Mobile SoC architecture, ML architecture, Computer Architecture, PPA trade-offs.

• Knowledge of interactions between software and HW IP blocks, general and special purpose compute units.