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Xilinx

Xilinx is looking for a deep learning compiler engineer to build the compiler and software tool chain for deploying custom ML networks optimized for latency and power to ACAP. In this position, you will contribute, develop and enhance Xilinx ML compiler by building custom optimizations and transformations (operator fusion, tiling, memory layout across various cache hierarchy) targeted to ACAP on top of open-source technoogy like LLVM, TVM, MLIR. You will also work on performance modeling tools that predict the performance with various level of accuracy and abstraction to be used as part of the compiler optimizations/explorations.

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