Google

Google welcomes people with disabilities.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Zhubei, Zhubei City, Hsinchu County, Taiwan; New Taipei, Banqiao District, New Taipei City, Taiwan.

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 5 years of experience in SoC performance or power analysis, modeling and optimizations.
• Experience with SoC architectures and performance and power KPIs.
• Experience in software power optimizations (e.g., Android, Linux).
• Experience with Python or C++.

Preferred qualifications:

• Master's or PhD degree in Electronics or Computer Engineering/Science, with an emphasis on computer architecture, performance and power analysis.
• Experience with Camera, Generative AI workloads and data flows.
• Experience with use case datapaths, IP-level and SoC-level performance Key Performance Indicators, and power management concepts.
• Experience with post-silicon power productization work.
• Knowledge of the impact of software and architectural design decisions on system performance, power and thermal behavior.

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.

Responsibilities

• Architect and drive low power solutions for Google Tensor mobile SoCs to optimize Power-Performance-Area under battery life and thermal constraints, with focus on camera and GenAI use cases, and mobile apps developed by Google.
• Create use case workload and data path models in simulator for use case power, performance, thermal and days-of-use (DoU) evaluation to drive hardware and software architecture definitions.
• Define power/performance key performance indicators (KPI), set SoC/IP-level power/performance goals, guide cross-functional teams to achieve these goals, perform use case level power roll-ups and track KPIs through the design cycle.
• Drive power-performance what-if trade-off analysis to guide product road map and feature decisions.
• Perform post-silicon power and performance characterization in both qualitative and quantitative fashion, perform power walks and guide cross-functional teams to land power/thermal goals in production.