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Niche MLIR/IREE compiler and runtime specialization reduces qualified candidate pool despite metro location.
Deep compiler/runtime and accelerator expertise limits transferability across industries.
Extensive mandatory skills (IREE/MLIR/LLVM, NPU, C++) and senior title create strict filtering.
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Architect and develop AI/ML compiler and runtime software targeting RISC-V based IP, NPU, and SoC platforms.
Lead enhancements in IREE-based compiler flows including MLIR lowering, codegen, and runtime for edge AI workloads.
Collaborate cross-functionally to optimize AI model execution on hardware including silicon bring-up and performance tuning.
3-12 years of hands-on software engineering experience, especially in compiler, runtime, embedded software, or AI/ML systems.
Strong experience with IREE, LLVM, MLIR compiler infrastructure, including MLIR dialects and compiler passes development.
Proficient in C/C++ programming and Python scripting for tooling and automation.
Experience with AI frameworks like PyTorch, ONNX, TensorFlow Lite and related model import/conversion flows.
Experienced in AI compiler/runtime stacks for edge AI or accelerator-based inference with hardware-software co-design knowledge.
Demonstrated technical leadership including mentoring engineers and driving execution across cross-functional teams.
Familiarity with RISC-V or other accelerator architectures and experience in silicon/software bring-up or FPGA prototyping.