AI/ML Compiler & Runtime Software Engineer
GlobalFoundries (company site, opens in a new tab)3–12 yrsBengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and develop AI/ML compiler and runtime software for RISC-V IP, NPU, and SoC platforms, focusing on IREE-based compiler flows and MLIR infrastructure.
- Optimize AI model execution on edge devices by implementing custom MLIR dialects, passes, code generation, and accelerator-aware scheduling to enhance performance and efficiency.
- Lead software architecture and technical strategy for AI SDK components and collaborate with cross-functional teams for platform bring-up, validation, and performance tuning.
Minimum Requirements
- 3-12 years of hands-on software engineering experience in compiler, runtime, embedded software, or AI/ML systems.
- Strong experience with IREE, LLVM, MLIR compiler infrastructure including developing MLIR dialects and compiler passes.
- Proficient in C/C++ programming and Python scripting within Linux environments for cross-compilation, debugging, and build systems.
- Work Location: Pune or Bangalore, India (explicit onsite presence implied but not strictly stated).
Ideal Candidate Profile
- Experienced in AI compiler/runtime stacks for edge AI and hardware accelerator integration, familiar with frameworks like PyTorch, ONNX, TFLite.
- Able to lead technically complex projects, mentor engineers, and coordinate with architecture, hardware, and product teams for hardware-software co-design.
- Skilled in AI model optimization for edge deployment including quantization, operator fusion, memory planning, and accelerator-aware scheduling.