Principal Software Engineer, Azure ML AI Infrastructure at Microsoft
Redmond, Washington, United States
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Summary
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Liwei Peng is a Principal Software Engineer at Microsoft specializing in large-scale distributed AI training infrastructure and GPU deep learning performance tuning. With 11+ years across Azure and Alibaba, he blends low-level C++/Python systems engineering with PyTorch/TensorFlow model optimization, RDMA GPU communication, and HPC expertise (MPI, schedulers). He helped design Azure AI supercomputer Singularity and co-authored papers including EFLOPS (HPCA 2020) and StructBERT (ICLR 2020), the latter driving a top GLUE result. His background spans shipping Linux agents and cross-platform tooling to building production NLP and multimodal models for anti-fraud at Alibaba, evidencing both system and applied ML impact. Comfortable from kernel-level networking to model pretraining, he repeatedly improves training scalability, speed, and memory efficiency at cloud scale. Based in Redmond, he brings a rare mix of scientific training and decades of production-grade distributed systems craftsmanship.
11 years of coding experience
22 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Nankai University
MCS, Computer Science, MCS, Computer Science at Rice University
Master of Science - MS, Computational Biology, Master of Science - MS, Computational Biology at Tsinghua University
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Liwei Peng - Principal Software Engineer, Azure ML AI Infrastructure at Microsoft