Senior Software Engineer (Windows ML MLIR Platform)

Help define how AI runs on Windows at global scale. The Windows AI Platform & Tools Team is building the foundational software that turns rapidly advancing models and silicon into fast, efficient, and trusted experiences for millions of customers. Working at the intersection of machine learning compilers, runtimes, operating systems, and heterogeneous hardware, you'll collaborate across Microsoft and with leading silicon partners to solve consequential edge-AI systems challenges. As a Senior Software Engineer , you will design and deliver core capabilities for the Windows ML MLIR platform across CPU, GPU, and NPU hardware. You will work on production compiler and runtime components that enable developers to deploy machine learning models efficiently and reliably, contributing to graph compilation, hardware-aware optimization, scheduling, memory orchestration, power efficiency, and secure execution. You will own complex features end to end, collaborate across team boundaries, and help turn emerging model and hardware capabilities into durable Windows platform building blocks. The role offers flexible work options, including partial remote work. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Role-based responsibilities Collaborates with and guides appropriate internal (e.g., product manager, privacy/security subject matter expert, technical lead) and external (e.g. customer escalation team, public forums) stakeholders to determine and confirm customer/user requirements for a project/sub-section of a product/solution. Incorporates customer insights into future designs or solution fixes. Ensures unwritten requirements, such as appropriate continuous feedback loops that measure actionable, quantitative (e.g., customer value, usage patterns, solution performance) and qualitative (e.g., accessibility, globalization) indicators of value are incorporated. Understands, provides feedback on, and advocates for security and privacy needs of the customer who will be using the project/sub-section of a product/solution. Identifies dependencies and incorporates them into the development of design documents for a product, application, service or platform. Actively identifies other teams and technologies to leverage, how they interact, and where their own system or team can support others. Understands upstream and downstream interactions between systems and ensures security, compliance, performance, and reliability can be achieved across the entire stack. Collaborates with other teams to reach common goals where dependencies and validation concerns overlap. Works across teams to resolve conflicts around dependency ownership and required work. Leads by example within the team to produce extensible, maintainable, well-tested, secure, and performant code that adheres to design specifications. Continuously improves code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs. Applies metrics to drive code quality and stability. Applies appropriate coding patterns and best practices (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions). Identifies and escalates blockers or unknowns during the development process, communicates how they will impact timelines, and identifies strategies and/or opportunities to address them. Leverages their subject-matter expertise to partner with