Design and implement advanced power modeling methodologies and automated tools to predict power consumption across the entire Pixel portfolio.

Gather and process large-scale device analytics to understand real-world user behavior. Use these insights to refine model accuracy and bridge the gap between simulation and reality.

Create high-fidelity models for key subsystems (e.g., SoC, display, camera, modem) under various workload scenarios.

Build and maintain dashboards and visualization tools that allow cross-functional teams (e.g., Product, Software, and System Architecture) to consume data and make informed decisions.

Use your models to project the power impact of future hardware/software features, influencing battery capacity, regulator selection, and system-level optimizations.

Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., optics, sensors, audio/DSP, etc.), or equivalent practical experience.

4 years of experience in hardware system design and systems architecture, or 3 years of experience in power modeling and power management.

Experience in Python for automation/tool development and SQL for data extraction and analysis.

Experience within first-principle low-power concepts, including power delivery networks (PDN), architectures and power-states (e.g., Dynamic Voltage and Frequency Scaling (DVFS), sleep modes).