About the job

The Pixel Hardware team is dedicated to building the best mobile experience by integrating hardware with Google’s AI and software.

As a Hardware Engineer in Power Modeling, you will play a critical role in defining the battery life and power efficiency of future Pixel devices. You will be responsible for the brains of our power projections developing the methodology, simulation tools, and data analytics that guide our product roadmap. From influencing battery sizing to optimizing how our silicon handles complex App and AI workloads, your work will directly impact millions of users.
The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• 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.

Minimum qualifications

• 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).

Preferred qualifications

• Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., optics, sensors, audio/DSP).

• Experience with hardware/software co-design and using simulation data to guide hardware architectural decisions.

• Familiarity with mobile system-on-chip (SoC) architecture with specialization in one or more subsystems.

• Ability to translate complex technical data into actionable insights for non-technical stakeholders.