Senior Machine Learning Compiler Engineer at Qualcomm
Toronto, Ontario, Canada
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Summary
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Shuo Niu is a Senior Machine Learning Compiler Engineer based in Toronto with five years of compiler-focused experience spanning LLVM, SYCL, OpenCL and SPIR-V. He progressed from LLVM Compiler Engineer to Senior roles at Intel and now Qualcomm, applying modern C++ and deep FPGA knowledge to optimize SYCL kernels and hardware-aware code generation. At Intel he contributed FPGA-focused oneAPI samples—implementing frequency targeting, DSP control and ac_int optimizations—demonstrating practical mastery of Intel FPGA extensions and performance tuning. He holds an MEng in Computer Engineering from the University of Toronto and blends academic rigor with hands-on embedded and compiler engineering to bridge ML workloads and hardware efficiently.
4 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE Electrical and Electronics Engineering, Bachelor of Engineering - BE Electrical and Electronics Engineering at University of Nottingham
Master of Engineering - MEng Computer Engineering, Master of Engineering - MEng Computer Engineering at University of Toronto
Contributions:13 reviews, 7 commits, 16 PRs in 1 year 3 months
Contributions summary:Shuo primarily contributed to developing FPGA-based code samples within the oneAPI environment. Their work involved implementing and optimizing SYCL kernels for various FPGA features, including frequency targeting, DSP control, and ac_int data types. They demonstrated a strong understanding of FPGA architecture by leveraging Intel FPGA extensions and addressing performance considerations. The user frequently refactored and updated the code samples, ensuring consistency and addressing developer feedback.
Contributions:66 reviews, 4 commits, 12 PRs in 1 month
toolkitsintelintel-oneapi-toolkitsoneapi
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Shuo Niu - Senior Machine Learning Compiler Engineer at Qualcomm