The Principal Software Engineer will be part of the Compute Graph Compiler team within DirectX, focusing on developing core compiler and execution technologies for the Windows Machine Learning Platform. This role involves leading the architecture and technical strategy for AI compute infrastructure, collaborating with silicon partners, and driving innovations for efficient execution of AI workloads. The engineer will work on optimizing performance across CPUs, GPUs, and NPUs, impacting millions of users and developers. The position is ideal for those passionate about large-scale platform engineering and deep systems work.

• 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 OR equivalent experience.
• 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 OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience OR equivalent experience.
• 6+ years of experience working at low levels of software stack, device driver development, and/or integration of hardware and software.
• Deep knowledge with hands-on experience in ML compiler, tool, and platform technology.
• 10+ years of experience delivering world-class system software.
• In-depth experience and knowledge in operating system development in either user-mode or kernel-mode driver development.
• A proven track record of significant technical leadership in research and development of AI platforms or frameworks technology.
• Prior experience in the design and development of ML hardware microarchitecture in real-world products.
• Proficient communication/customer interfacing skills and the ability to deal with ambiguity and prioritize issues.

• Define and drive the technical vision, architecture, and roadmap for key components of the Windows ML compiler stack.
• Lead cross-team initiatives that improve AI workload performance, scalability, and efficiency across CPU, GPU, and NPU hardware.
• Drive NPU enablement strategy and advanced optimization techniques for next-generation AI processors.
• Partner with hardware vendors and internal platform teams to influence future AI hardware and software capabilities.
• Design and develop high-performance compiler infrastructure, execution engines, and developer tooling.
• Identify and solve complex systems challenges involving scheduling, memory management, code generation, graph optimization, and hardware abstraction.
• Mentor junior engineers and provide technical leadership across multiple projects and organizations.
• Help shape Microsoft's long-term strategy for on-device AI and generative AI execution on Windows.

• 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.