The Principal Software Engineering Manager will lead a high-impact engineering team focused on optimizing the efficiency of the Copilot inference stack at Microsoft. This role involves driving improvements in throughput per GPU and enhancing model execution performance. The team operates one of the largest AI inference platforms, delivering intelligent capabilities to millions of users. The manager will collaborate with various teams to establish metrics and frameworks that guide investment decisions and ensure operational excellence.

• Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
• Ability to meet Microsoft, customer and/or government security screening requirements.
• Master'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 Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
• 6+ years people management experience.
• Experience leading engineering teams building backend or distributed systems.

• Build and lead a high-performing engineering team focused on inference runtime efficiency and model execution performance.
• Define and drive strategy to improve throughput per GPU through runtime optimizations.
• Increase engineering agility, enabling faster experimentation, iteration, and rollout of performance improvements.
• Partner across M365 Core, AI Core, Azure, and Microsoft Research to co-design and productionize advanced inference optimizations.
• Establish metrics, telemetry, and experimentation frameworks to measure efficiency gains and guide investment decisions.
• Own live-site performance, reliability, and operational excellence for inference engines at scale.
• Drive alignment across partner teams on engine interfaces, performance goals, and optimization priorities.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.