Power Validation Engineer

We are seeking an experienced Power Validation Engineer to join our AI Glass hardware validation team. This role is responsible for validating and optimizing power consumption across Meta's AI-enabled smart glasses. The ideal candidate will drive power measurement, analysis, and regression debugging to ensure optimal battery life and thermal performance. You will collaborate closely with hardware design, firmware, and AI/ML teams to deliver power‑efficient products that meet consumer expectations.

• Lead power validation of AI Glass products across all device use cases
• Design, develop, and execute comprehensive power measurement test plans for wearable devices in an on‑site lab environment.
• Debug power regressions by analyzing electrical measurements, device logs, firmware power state transitions, and system‑level interactions.
• Characterize power consumption across various operating conditions (temperature, voltage corners, workloads) and identify optimization opportunities.
• Collaborate with firmware and software teams to validate power management features.
• Develop and maintain automated power measurement test infrastructure using Python‑based scripting and data acquisition systems.
• Prepare comprehensive test reports with data‑driven analysis and effectively communicate findings and progress to cross‑functional stakeholders.
• Support power budgeting and battery life estimation for new product development and feature additions.
• Identify and drive resolution of power‑related issues found during validation, working with design and firmware teams on root‑cause analysis and corrective actions.

• 5+ years of experience in power consumption measurement and validation of embedded electronic products.
• Experience with power validation on battery‑powered consumer electronics, wearables, or small‑form‑factor devices.
• Strong expertise in power consumption measurement techniques and methodologies for various device use cases.
• Solid knowledge of electronics circuits, power management ICs, voltage regulators, and battery charging systems.
• Proficiency with electronics lab test and measurement equipment (oscilloscopes, power analyzers, source‑measure units, data acquisition systems, current probes).
• Hands‑on experience with hardware testing on small‑form‑factor PCBs and wearable devices.
• Good knowledge of microprocessors/controllers, SoCs, and digital communication protocols (I2C, SPI, UART, USB).
• Strong analytical and problem‑solving skills with ability to interpret complex power data and identify root causes.
• Excellent communication skills with ability to present technical findings to diverse audiences.

• Experience with programming and automated test system design for hardware validations.
• Familiarity with AI/ML workload characterization and power profiling of neural network accelerators.
• Experience with wireless protocol power optimization (Wi‑Fi, Bluetooth, cellular).
• Knowledge of battery management systems, fuel gauging, and battery life modeling.
• Experience with thermal management and correlation of power/thermal behavior.
• Familiarity with power management frameworks in embedded Linux or RTOS environments.
• Experience with data visualization tools and statistical analysis for power data interpretation.