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Metro location and mid-range experience increase applicant density despite niche compiler/runtime specialization.
Requires niche ML compiler, runtime, and accelerator experience, limiting cross-industry transferability.
Specific ML compiler/LLVM/IREE skills and explicit years requirement tighten screening.
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Architect and develop AI/ML compiler and runtime software targeting RISC-V IP, NPUs, and SoC platforms focusing on edge AI workloads.
Lead development of IREE-based compiler flows including MLIR dialects, passes, lowering, code generation, and runtime integration for AI acceleration.
Collaborate cross-functionally with hardware, firmware, validation, and product teams to optimize AI model execution on simulators, FPGA, and silicon platforms.
3-12 years of software engineering experience, with expertise in compiler, runtime, embedded software, or AI/ML systems.
Strong hands-on experience with IREE, LLVM, MLIR compiler infrastructure, and related tooling (MLIR dialects, passes, lowering pipelines).
Proficient in C/C++ and Python scripting; experience with Linux development environments including cross-compilation and debugging.
Work Experience Required: 3-12 years explicitly mentioned in the JD.
Demonstrated ability to technically lead complex AI compiler/runtime software projects and mentor engineers.
Deep understanding of AI model optimization for edge deployment, including quantization, operator fusion, memory planning, and accelerator scheduling.
Experience working closely with architecture and hardware teams to enable AI acceleration on custom IP and SoC platforms in an embedded/edge AI environment.