below marketmost similar roles pay hereabove market
This role pays more than
80%
of similar roles. Most pay
$148,500–$177,250
— the blue band above.
At the midpoint, this role pays about
$177k
versus about
$163k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
648 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 624 roles with salary data.
The Senior Software Engineer joins the Windows + Devices Fundamentals team to improve the reliability, performance, battery life, and sustainability of Windows devices. This role involves identifying performance bottlenecks and driving measurable improvements across the broader device ecosystem by analyzing complex system behavior across hardware and software boundaries. You will perform deep performance investigations using telemetry, ETW traces, profiling, and critical-path analysis to isolate root causes in CPU, memory, storage, and thread scheduling. Key responsibilities include building workloads and benchmarks, translating data into engineering insights, and advancing AI-assisted engineering. Required skills include proficiency in C, C++, C#, Java, JavaScript, or Python, along with experience in systems-level debugging, operating-system fundamentals, and diagnostic tools like WinDbg or Kusto to solve complex performance problems across firmware, drivers, and applications.
What does a Software Engineer earn?
Median $196750 from 2601 postings across 154 companies.
Perform deep performance investigations using telemetry, ETW traces, profiling, and system-level debugging to identify bottlenecks.
Translate large-scale telemetry and trace data into actionable engineering insights and root cause source-code attribution.
Advance AI-powered performance engineering by combining performance data and source code with AI to accelerate analysis.
Develop tools and analysis techniques that scale deep performance analysis using AI and rigorous validation.
Design representative workloads and benchmarks to characterize real-world performance across different silicon platforms and device configurations.
Develop optimization hypotheses, validate them experimentally, and work with component owners to deliver measurable product improvements.
Partner with OEMs, silicon vendors, and ISVs to investigate complex performance problems spanning hardware, firmware, and drivers.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 4+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python (or equivalent experience).
Demonstrated software engineering and debugging skills with experience investigating complex systems or application behavior (preferred).
Experience with performance analysis, profiling, telemetry, diagnostics, benchmarking, or related systems-analysis techniques (preferred).
Knowledge of operating-system fundamentals including thread scheduling, memory management, storage/I/O, synchronization, and resource management (preferred).
Experience with Windows performance and diagnostic technologies such as ETW, WPR/WPA, WinDbg, or comparable profiling and tracing systems (preferred).
Experience using large-scale telemetry and data-analysis platforms, including Kusto or similar technologies, to identify trends and regressions (preferred).
Experience designing performance workloads, benchmarks, and experiments across hardware, software, or operating-system configurations (preferred).
Experience applying AI-assisted engineering tools to analyze technical data, source code, traces, or complex engineering problems (preferred).