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++.
- Master's or PhD degree in Electronics or Computer Engineering/Science, with an emphasis on computer architecture, performance and power analysis.
- Experience with Camera and GenAI workloads and dataflows.
- Experience with use case datapaths, IP-level and SoC-level performance KPIs, 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.
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About the job
Be part of a diverse 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 end-to-end low power solutions for Google Tensor mobile SoCs to optimize Power-Performance-Area (PPA) under battery life and thermal constraints, with special focus on camera and GenAI use cases, and other mobile apps developed by Google such as Chrome.
- Create use case workload and datapath models in simulator for use case power, performance, thermal and DoU (days-of-use) evaluation to drive hardware and software architecture definitions.
- Define power/performance KPIs, set SoC/IP-level power/performance targets, guide cross-functional teams to achieve these targets, 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 roadmap 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 targets in production.