Principal Software Engineering Manager

Guides partnership with appropriate stakeholders (e.g., security, privacy, peer teams) to determine requirements within and across teams. Guides teams and leads identification of dependencies and the development of design documents for a product, application, service, or platform. Optimizes, debugs, refactors, and reuses code to improve performance and maintainability, effectiveness, and return on investment (ROI). Guides team to drive multiple cross-group collaboration efforts, engineering release plans, and work items in coordination with appropriate stakeholders. Own delivery of OS features that integrate well into our current & future product plans. Deliver code changes with high quality that pass peer review, security scrutiny and are regression free. Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR Master's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR equivalent experience. 3+ years engineering management experience leading ICs and/or senior ICs. Developed and released LLM-based systems to production with production runtime of 6+ months with significant usage. Experience building software in large, complicated codebases among thousands of engineers. Hands-on experience using AI-assisted development tools in production engineering environments (e.g., LLM-powered IDE workflows, code generation, automated refactoring/testing) and the ability to operationalize them into consistent team practices. Experience leading high impact software engineering teams, working within a shared ownership model with clear contracts. Experience working across teams to develop solid designs and influence others to achieve the outcomes needed for our customers & partners. Practical application of automated evaluation harnesses, quality gates, and monitoring to improve code outputs over time.