Senior Software Engineer

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.