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Senior SoC Power Architect – Silicon

Senior SoC Power Architect – Silicon

CompanyGoogle
LocationMountain View, CA, USA, San Diego, CA, USA
Salary$156000 – $229000
TypeFull-Time
DegreesBachelor’s
Experience LevelSenior

Requirements

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  • 5 years of experience with computer architecture concepts, including microarchitecture, cache hierarchy, pipelining, and memory subsystems.
  • 5 years of experience in SoC power management or low power design/methodology.
  • Experience with Application-Specific Integrated Circuit (ASIC) low power flows and power management concepts.

Responsibilities

  • Define and drive low power solutions for Google System on a Chips (SoC) to optimize Power-Performance-Area (PPA) under peak current and thermal constraints with a focus on the CPU subsystem.
  • Define power key performance indicators and SoC/IP-level power targets, guide architecture, design and implementation to achieve power targets, create power models, perform power roll ups and track power throughout the design cycle.
  • Propose and drive power optimizations, both hardware and software, throughout the design process from concept to mass productization.
  • Drive power-performance trade-off analysis for engineering reviews and product road-map decisions.
  • Perform post-silicon characterization and productization of power features.

Preferred Qualifications

  • Master’s Degree or PhD in Electronics or Computer Engineering/Science, with an emphasis on computer architecture, performance and power analysis.
  • 8 years of experience in SoC power management or low power design/methodology.
  • Experience in CPU power in mobile SoCs from CPU architecture and design to schedulers, governors and post-silicon tuning for power and performance.
  • Experience with ASIC power modeling/estimation, defining power targets, power roll-ups, power/voltage domains design and low power architectures/optimization techniques.
  • Experience with software and architectural design decisions on system power and thermal behavior.
  • Experience with ASIC design flows from concept to post-silicon.