Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
10 years of experience with memory subsystem architectures, particularly for mobile SoCs.
Expertise in power management and low power design methodologies.
Experience with the full product delivery cycle from definition to productization.
Preferred: Master's degree or PhD in a relevant field with a focus on computer architecture.
Preferred: Knowledge of cache hierarchies, system-level power modeling, and LPDDR standards.
Preferred: Strong leadership, organizational, and communication skills.
Responsibilities
Lead the definition of power requirements for Tensor mobile SoCs, focusing on memory subsystems.
Drive cross-functional teams to meet power KPIs for memory subsystems and major SoC IPs.
Propose and implement power optimizations for memory subsystems from concept to mass production.
Conduct power-performance trade-off analyses for engineering reviews and product roadmap decisions.
Report SoC power status to executive leadership.
Benefits
Comprehensive health and wellness programs.
Generous paid time off and holidays.
Retirement savings plans with company matching.
Employee development and training opportunities.
Access to cutting-edge technology and resources.
Full Job Description
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X In most instances, this position requires in-person interviews as part of the hiring process.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Diego, CA, USA.
Minimum 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).
Preferred qualifications:
Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience with memory subsystem architectures, cache hierarchies, system-level power and performance modeling, SoC-wide traffic analysis and optimizations, LPDDR standards, etc.
Excellent leadership, organizational, and communication skills.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $192000 - $278000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
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.
About Google
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
