GPU Compute & MLIR Compiler Engineer — AI Workloads

Hands-on experience with IREE (Intermediate Representation Execution Environment) or other MLIR-based deployment frameworks such as TVM, XLA, or LLVM.

Familiarity with IREE's compiler and runtime architecture — including HAL (Hardware Abstraction Layer), executable compilation, and dispatch mechanisms — particularly its OpenCL and Vulkan HAL backends.

Experience contributing to open-source MLIR or IREE projects.

Knowledge of quantization, mixed-precision inference, and model optimization techniques for edge and server GPU targets.

Exposure to multi-target compilation (CPU, GPU, NPU) using MLIR-based toolchains.

Familiarity with cross-vendor GPU profiling tools (e.g., ARM Streamline, Qualcomm Snapdragon Profiler, Intel VTune) for OpenCL and Vulkan workloads.

Minimum Qualifications:

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