Senior Software Engineer United States Washington Redmond

Job description

Perform deep performance investigations using telemetry, ETW traces, profiling, critical-path analysis, and system-level debugging to identify bottlenecks spanning CPU, memory, storage/I/O, thread scheduling, and responsiveness. Turn large-scale telemetry and trace data into actionable engineering insights, moving from population-level signals and regressions to representative traces, root cause, source-code attribution, and quantified opportunities for performance improvement. Advance AI-powered performance engineering by combining performance data, trace evidence, profiling results, source code, and engineering context with AI to accelerate analysis and uncover actionable optimization opportunities at scale. Develop tools and analysis techniques that scale deep performance analysis with AI, while applying rigorous validation to ensure insights are grounded in measured system behavior and lead to meaningful engineering improvements. Design representative workloads and benchmarks to characterize real-world performance, establish trustworthy baselines, account for measurement variability, and enable rigorous comparisons across Windows releases, silicon platforms, device configurations, and alternative platforms. Drive leading performance and resource-efficiency investigations, understanding system behavior across device classes, hardware configurations, and memory-constrained systems and identifying opportunities to deliver differentiated Windows experiences. Translate analysis into engineering impact by developing optimization hypotheses, validating them experimentally, quantifying tradeoffs, and working with component owners to turn findings into measurable product improvements. Partner deeply with engineering teams, OEMs, silicon vendors, IHVs, and ISVs to investigate complex performance problems, influence technical decisions, and drive optimizations spanning hardware, firmware, drivers, the operating system, and applications. Build trusted technical partnerships with internal and external engineering teams, using data and deep technical analysis to align on root cause, evaluate tradeoffs, and drive performance improvements through delivery. 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. Bachelor's degree in Computer Science or a related technical discipline and 4+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR equivalent experience. Demonstrated software engineering and debugging skills, with experience investigating complex systems or application behavior. Experience with performance analysis, profiling, telemetry, diagnostics, benchmarking, or related systems-analysis techniques. Ability to analyze complex technical data, form testable hypotheses, and translate findings into engineering actions. Knowledge of operating-system fundamentals, including thread scheduling, memory management, storage/I/O, synchronization, resource management, or other low-level systems concepts. Experience with Windows performance and diagnostic technologies, such as ETW, WPR/WPA, WinDbg, or comparable profiling and tracing systems. Experience using large-scale telemetry and data-analysis platforms, including Kusto or similar technologies, to identify trends, regressions, and performance opportunities. Experience designing performance workloads, benchmarks, experiments and interpreting results across hardware, software, or operating-system configurations. Experience applying AI-assisted engineering tools to analyze technical data, source code, traces, or complex engineering problems. Experience building analysis tools or automation that combines telemetry, profiling information, source code, and engineering context. Experience with statistical analysis and experimental methodology, including establishing baselines, evaluating measurement quality, and distinguishing meaningful performance changes from workload or measurement variability. Experience investigating complex problems across hardware, firmware, drivers, operating systems, and applications. Experience collaborating with OEMs, IHVs, ISVs, silicon partners, or other external engineering organizations on complex technical investigations and product improvements.