Sr. Software Engineer - Performance

Performance and responsiveness are fundamental to every Windows device—they shape how customers start their day, launch apps, multitask, create, connect, and stay in flow. Design, develop, and maintain performance assessment solutions that evaluate responsiveness across Windows devices and transform complex runtime data into actionable engineering insights. Perform deep technical analysis and identify performance enhancement opportunities across system, storage and memory I/Os, applications and platform components. Define and maintain performance metrics, measurement methodologies, and reporting standards used across validation environments. Drive the adoption of AI-powered solutions to streamline, scale, and accelerate performance root cause analysis. Drive technical design discussions, architecture reviews, and engineering excellence practices. Support a culture of technical excellence through documentation, code reviews, mentoring, and knowledge sharing. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR equivalent experience. Outstanding troubleshooting skills, especially for Windows debugging. Demonstrated understanding of performance management and measurement, boot/startup flow, scheduling, memory/storage/IO latency analysis. Demonstrated ability to work independently on features with minimal supervision and diagnose non-deterministic or flaky measurement results. Solid communication, collaboration, and presentation skills in Mandarin and English. Hands-on experience with WPR/WPA, Xperf, and ETW trace capture and analysis. Familiarity with ADK/WAT assessments and the Performance Toolkit SDK / WPA plugin model. Good understanding of Windows OS internals relevant to performance (Windows kernel, memory & IO management, scheduling, boot flow). Familiarity with performance validation concepts and goals for Windows devices. Good command of AI tools and data analytical skills. Prior collaboration with OEM/IHV partners.