Google-posted 11 days ago
Full-time • Mid Level
Mountain View, CA
5,001-10,000 employees

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. 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.

  • Lead the definition of camera use case flows for Tensor mobile SoCs to optimize Power-Performance-Area (PPA) under peak current and thermal constraints.
  • Own and drive power for camera dashboard use cases from concept to production.
  • Drive system-level architectural discussions and power optimizations by accurately modeling workloads and use case flows.
  • Drive post-silicon power measurements, optimization and productization efforts and provide status updates to the executive leadership team.
  • Build, develop and lead a high-functioning global team to deliver camera power.
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  • 10 years of experience with Multimedia Domain (e.g., Camera, Video, Display and Audio) power optimizations.
  • Experience with Mempath and CPU workload analysis and power optimizations.
  • Experience with software power management concepts and use case flows.
  • Experience with full product delivery cycle (e.g., definition, architecture, design and implementation, testing, productization).
  • Experience working with cross-functional teams to drive consensus and influence product decisions.
  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • Experience leading teams to deliver on power and performance goals for mobile SoCs.
  • Experience with SoC power modeling and analysis.
  • Experience with post-silicon power productization working with software teams.
  • Experience with low power architecture and power optimization techniques.
  • Familiarity with ASIC design flows.
  • bonus
  • equity
  • benefits
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