Performance, Power and Thermal Architect, Silicon

Google•San Diego, CA

4h•$138,000 - $198,000

About The Position

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. As a Performance, Power and Thermal Architect, you will help drive Mobile SoC Architecture optimized for Performance, Power and Thermal. This role will analyze mobile workloads, identify performance bottlenecks and power optimization opportunities in hardware/software architecture, and work with cross-functional teams to implement these solutions. 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.

Requirements

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
4 years of experience with performance or power refinment.
Experience with SoC, CPU, GPU, ISP, Memory, or Caches.

Nice To Haves

Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience with one or more of these areas: QoS tuning, bandwidth and latency analysis, scheduler, DVFS governor, power state control, thermal management, device drivers.
Experience with processor core architectures (such as ARM, x86, RISC-V, etc.) and IPs commonly used in SoC designs.
Experience with on-device ML/compute optimization.
Experience with performance and power analysis.

Responsibilities

Conduct performance, power, thermal analysis in both qualitative and quantitative fashion effectively.
Identify performance bottlenecks across workloads on Mobile SoCs and suggest potential optimizations to improve Performance/Power.
Identify software and hardware architectural optimizations for mobile/tablet workloads (ML/Gen-AI, Browsing, Camera, etc).
Evaluate architectural options, trade-offs (CPU Cache sizing, Core configuration, Memory controller QoS, etc) and develop architecture proposals /justification.
Perform Deep-dive analyses for CPU, GPU, ML/Gen-AI and Memory bound workloads.