SoC Power Lead, Memory Subsystem

Google LLC; Mountain View (CA); In loco; USD 192.000 - 278.000; Tempo pieno

Descrizione del lavoro

Google LLC in Mountain View, CA is seeking a senior hardware engineer focused on memory subsystem power for Tensor mobile SoCs. You will lead the definition of power requirements to achieve Power-Performance-Area targets and drive cross-functional teams to deliver memory IP with optimal energy efficiency.

The role emphasizes memory architecture, LPDDR standards, and performance modeling across the full product lifecycle. Individual pay is determined by skills, experience, and education.

Competenze

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field required.
• 10 years of experience with memory subsystem architectures for mobile SoCs.
• Experience in power management and low power design/methodology.
• Experience with full product delivery cycle from concept to mass productization.

Mansioni

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

Conoscenze

Memory subsystems

Power management

Power optimization techniques

Cross-functional leadership

Product delivery lifecycle

Formazione

Bachelor’s degree in EE/CE/CS or related field

Master’s degree or PhD in EE/CE/CS

Descrizione del lavoro

info_outline 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.

• 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.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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.

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.

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 .

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.