AI/ML Compiler & Runtime Software Engineer

GlobalFoundries — IND - Maharashtra - Pune

Sr Staff Engineer – AI/ML Compiler & Runtime Software Engineer AI SDK Team Location: Pune / Bangalore – India Join the RISC-V Revolution! About GlobalFoundries GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com Introduction We are seeking a highly skilled Sr Staff Engineer in AI/ML compiler and runtime software to join our Platform Software and AI SDK team. The team is building the foundational software stack to enable Physical AI workloads on next-generation RISC-V IP and SoC platforms. This role sits at the intersection of AI compiler technology, edge AI deployment, runtime systems, and hardware acceleration. You will work on IREE-based compiler and runtime flows, LLVM/MLIR infrastructure, custom MLIR dialects and passes, code generation, quantization, and NPU acceleration to enable efficient execution of AI models on edge devices and silicon platforms. This is a unique opportunity to contribute across the full silicon-to-software lifecycle, combining compiler engineering, AI runtime development, and hardware-software co-design to deliver high-performance, low-latency, and power-efficient AI execution for real-time edge and Physical AI use cases. What You’ll Do Architect, design, and develop AI/ML compiler and runtime software for RISC-V based IP, NPU, and SoC platforms. Develop and enhance IREE-based compiler flows, including MLIR lowering, code generation, runtime integration, and deployment paths for edge AI workloads. Create and maintain custom MLIR dialects, compiler passes, lowering pipelines, and transformation flows to map AI workloads efficiently to custom NPU and acc

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