SoC Power Lead - Memory Subsystem Architect

Google; Mountain View (CA); On-site; USD 192,000 - 278,000; Full time

Job summary

Google in Mountain View, CA is seeking a Senior hardware power/SoC architect to define power requirements for Tensor mobile SoCs, focusing on the memory subsystem to achieve Power-Performance-Area goals. You will lead cross‑functional teams to drive KPIs and optimize power throughout the design process.

Individual pay is determined by job-related skills, experience, and relevant education or training, with a strong emphasis on delivering high performance, efficiency, and integration for Google's

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 10 years of experience with memory subsystem architectures, including for mobile SoCs.
• Experience in power management or low power design/methodology, as well as with low power architecture and power optimization techniques.
• Experience with full product delivery cycle (e.g., definition, architecture, design and implementation, testing, productization).

Responsibilities

• Lead the definition of power requirements for Tensor mobile System-on-Chips (SoCs) to achieve Power-Performance-Area (PPA) with a primary focus on the memory subsystem (memory controller, DDRPHY, DRAM).
• Own and drive cross-functional teams to deliver on power Key Performance Indicators (KPIs) for the memory subsystem and other major SoC IPs.
• Propose and drive power optimizations for the memory subsystem throughout the design process from concept to mass productization.
• Drive power-performance trade-off analysis for engineering reviews and product roadmap decisions.
• Represent status of SoC power to the executive leadership team.

Skills

Memory subsystems

Power management

SoC architecture

Leadership

Cross-functional collaboration

Education

Bachelor's degree or equivalent

Master's degree or PhD preferred

Job description

Google in Mountain View, CA is seeking a Senior hardware power/SoC architect to define power requirements for Tensor mobile SoCs, focusing on the memory subsystem to achieve Power-Performance-Area goals. You will lead cross‑functional teams to drive KPIs and optimize power throughout the design process.

Individual pay is determined by job-related skills, experience, and relevant education or training, with a strong emphasis on delivering high performance, efficiency, and integration for Google's