Bo Li
AI Compute DevTech Engineer at NVIDIA
Zurich, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolBo Li is an AI Compute DevTech Engineer at NVIDIA with nine years of graphics and simulation-focused software engineering experience, currently contributing to TensorRT-LLM. Trained at Peking University and ETH Zürich, he blends real-time rendering expertise with physics-based simulation—having implemented probe-based GI and ported advanced rendering techniques to mobile at Tencent and worked on PBD/IPC soft-body and cloth systems during internships at NVIDIA and Disney Research. He excels at squeezing performance from engines and hardware, with a track record of profiling, optimization and scalable illumination solutions for open-world scenes. Based in Zurich, he brings a rare combination of production graphics engineering and academic rigor, and often bridges research ideas into practical, high-performance implementations.
9 years of coding experience
2 years of employment as a software developer
BSc, Computer Science and Technology, BSc, Computer Science and Technology at Peking UniversityMSc, Computer Science, MSc, Computer Science at ETH Zürich
Github Skills (33)
pytorch10
robotics10
runtimes10
python10
tensorrt10
inference10
large-language-models10
llm-inference10
llm10
kernel10
nvidia10
gpu10
cuda10
cpp10
jit10
Programming languages (5)
Github contributions (5)
ethz-pbs21/SandyFluid
Nov 2021 - Feb 2022
Contributions:44 commits, 1 PR, 4 pushes in 3 months
bobboli/TensorRT-LLM
Apr 2025 - Jul 2026
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
Contributions:301 pushes, 73 branches in 1 year 3 months
cppinferencelarge-language-modelsllmnvidia
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