Design, develop, and maintain automated assessment solutions that measure battery life, energy consumption, and power efficiency across Windows devices. Own the accuracy, reliability, and repeatability of energy-efficiency measurements across test cycles, hardware platforms, and product releases. Define and evolve methodologies, metrics, and validation approaches used to evaluate power-related user experiences. Build automation frameworks and deployment mechanisms that simplify execution and maintenance of assessment workloads. Analyze power-consumption patterns and energy-related system behavior to identify opportunities for measurement improvements and ecosystem alignment. Collaborate with hardware, silicon, OEM, and platform engineering teams to improve energy-efficiency evaluation and validation practices. Deliver secure, maintainable, production-quality software that meets engineering, compliance, and release requirements. Participate in technical design reviews and contribute to engineering excellence practices, code quality, and knowledge sharing. Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. Solid understanding of power management and measurement, sleep and power-state transitions, and device/driver behavior. Outstanding troubleshooting skills, especially for Windows debugging. Demonstrated ability to work independently on features with minimal supervision and diagnose non-deterministic or flaky measurement results. Outstanding communication, collaboration, and presentation skills in Mandarin and English. Hands-on experience with ETW tracing and the Windows Performance Toolkit (WPR/WPA); familiarity with ADK/WAT. Good understanding of Windows OS internals relevant to power (power management, sleep/Modern Standby, device/driver behavior). Familiarity with energy-efficiency validation concepts and battery-life goals for Windows devices. Experience with CI/CD, code signing, and secure-by-default engineering practices. Good command of AI tools and data analytical skills. Prior collaboration with OEM/IHV partners.
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