15 hours ago
Base Salary
$120k - $261k/yr
Responsibilities
- Perform deep performance investigations using telemetry, ETW traces, profiling, critical-path analysis, and system-level debugging.
- Analyze large-scale telemetry and trace data to identify regressions, attribute root causes to source code, and quantify improvement opportunities.
- Develop AI-powered performance engineering tools and analysis techniques using performance data, traces, profiling results, source code, and engineering context.
- Design workloads, benchmarks, baselines, and experiments to compare performance across Windows releases, silicon platforms, devices, and alternative platforms.
- Investigate resource efficiency and performance across device classes, hardware configurations, and memory-constrained systems.
- Develop and validate optimization hypotheses, quantify tradeoffs, and partner with component owners to deliver measurable improvements.
- Collaborate with engineering teams, OEMs, silicon vendors, IHVs, and ISVs on complex investigations spanning hardware, firmware, drivers, operating systems, and applications.
Requirements
- Bachelor’s degree in Computer Science or a related technical field and 4+ years of technical engineering experience with coding, or equivalent experience.
- Demonstrated software engineering, debugging, systems-analysis, performance-analysis, profiling, telemetry, diagnostics, or benchmarking experience.
- Ability to analyze complex technical data, form testable hypotheses, and translate findings into engineering actions.
- Knowledge of operating-system fundamentals such as thread scheduling, memory management, storage/I/O, synchronization, and resource management.
- Experience with Windows performance and diagnostic technologies such as ETW, WPR/WPA, WinDbg, or comparable tools.
- Experience with large-scale telemetry and data-analysis platforms, including Kusto or similar technologies.
- Experience designing performance workloads, benchmarks, experiments, and interpreting results across hardware, software, or operating-system configurations.
- Experience applying AI-assisted engineering tools to 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 baselines, measurement quality, and variability analysis.
- Experience investigating problems across hardware, firmware, drivers, operating systems, and applications.
- Experience collaborating with OEMs, IHVs, ISVs, silicon partners, or other external engineering organizations.
Benefits
- The role is a full-time U.S. position with a stated base-pay range of USD $119,800–$234,700 per year, with a separate range for specified San Francisco Bay Area and New York City metropolitan locations.
- Certain roles may be eligible for benefits and other compensation, with additional information provided by Microsoft.
- Applications are accepted on an ongoing basis, and the position will be open for a minimum of five days.
Tech Stack
Categories
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.