AI/ML Compiler & Runtime Software Engineer
Company: Globalfoundries
Location: BANGALORE, Karnataka, India
Type: Full-time
Posted: 2026-11-03
About this role
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](http://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 transformati...