SoC Power Lead: Memory Subsystem, PPA & Equity

Google; San Diego (CA); On-site; USD 192,000 - 278,000; Full time

Job summary

Google is hiring to push the boundaries of custom silicon powering consumer products. You will shape memory subsystem power for Tensor mobile SoCs, drive cross-functional teams, and lead power optimization across the design cycle.

The role centers on delivering high performance with energy efficiency in a mass-production SoC context. The team integrates Google AI, software and hardware expertise to create radically helpful experiences, with compensation including equity and benefits.

Qualifications

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

Responsibilities

• Lead the definition of power requirements for Tensor mobile SoCs to achieve Power-Performance-Area with a focus on memory subsystem.
• Own and drive cross-functional teams to deliver power KPIs for memory subsystem and other major SoC IPs.
• Propose and drive power optimizations for the memory subsystem throughout the design process.
• Drive power-performance trade-off analysis for engineering reviews and product roadmap decisions.
• Represent the status of SoC power to the executive leadership team.

Skills

Memory subsystem architectures

Power management

Low power design

Product delivery cycle

Education

Bachelor's degree or equivalent practical experience

Master's or PhD in Electrical Engineering, Computer Engineering or Computer Science

Job description

Google is hiring to push the boundaries of custom silicon powering consumer products. You will shape memory subsystem power for Tensor mobile SoCs, drive cross-functional teams, and lead power optimization across the design cycle.

The role centers on delivering high performance with energy efficiency in a mass-production SoC context. The team integrates Google AI, software and hardware expertise to create radically helpful experiences, with compensation including equity and benefits.