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Principal Architect - AI Compiler
 Microsoft | |
 United States, Washington, Redmond | |
 Jul 02, 2025 | |
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OverviewOur team at Microsoft CoreAI is at the forefront of developing AI technologies that combine language, vision, and other sensory inputs to power Microsoft AI products. We offer these advanced models as services for both internal and external applications, driving innovation across the ecosystem. We collaborate extensively with OpenAI and numerous Microsoft product teams, including Copilot and Office. We are seeking a Principal Architect - AI Compiler to pioneer the use of Large Language Models (LLMs) and AI-driven techniques in next-generation compiler and kernel development. This role is ideal for someone with expertise in modern AI and ML techniques who is passionate about pushing the boundaries of AI-assisted software engineering and compiler optimization. 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positivelyimpactour culture every day.
ResponsibilitiesAI Kernel Authoring & Optimization: Leverage LLMs to generate, optimize, and rewrite compute kernels for performance and portability across diverse hardware targets. AI-Driven Debugging & Porting: Use AI tools to assist in debugging and porting kernels across architectures, improving developer productivity and code quality. Algorithm Replacement: Identify and replace traditional compiler algorithms with AI-powered alternatives to enhance performance, maintainability, and adaptability. Kernel Fusion via AI: Design and implement AI-driven strategies for kernel fusion to reduce memory bandwidth usage and improve runtime efficiency. Collaborative Innovation: Work closely with compiler architects, ML researchers, and systems engineers to integrate AI capabilities into the compiler toolchain. Research & Prototyping: Stay at the forefront of AI and compiler research, rapidly prototyping and evaluating new ideas. | |