# Trent Lo

> Deep Learning Compilers

Location: San Jose, California, United States
Profile: https://flows.cv/trentlo

Deep Learning Compiler and Framework, Heterogeneous Parallel Compute Software (CUDA/OpenCL), and Compute System Performance.

## Work Experience
### Principal Software Engineer @ NVIDIA
Jan 2018 – Present | San Francisco Bay Area
- Develop Deep Learning Compilers for performance and programmability.

### Staff Software Engineer (Technical Manager) @ MediaTek
Jan 2016 – Jan 2018 | Hsinchu County/City, Taiwan
- Led a Software team specialized in Heterogenous Compute (with GPU/DSP) and Deep Learning
- Developed compiler/runtime for Compute APIs such as OpenCL

### Senior Software Engineer @ MediaTek
Jan 2013 – Jan 2016 | Taiwan
- Led design/implementation of an OpenCL1.2-conformant software stack on ARM/NEON, which is 50% faster than competitors’ counterpart
- Architected a unified OpenCL runtime, which is shared by various in-house processors such as CPU, GPU, and DSP and is 20X faster than competitors’ counterpart
- Optimized Renderscript on GPUs; the resulted software stack is at least 50% faster than competitor’s counterpart according to popular benchmarks
- Developed world’s first production-quality device fusion technology, which can execute workload on CPU and GPU simultaneously with dynamic scheduling capability

### Visiting Scholar @ UC Irvine
Jan 2012 – Jan 2012

### Research Assistant @ National Tsing Hua University
Jan 2006 – Jan 2012 | Taiwan
- Conducted research and published well-cited papers on prestigious conferences/journals such as TECS about system-level modeling and simulation
- Received 3 awards for my doctoral research as listed below in the Honors section
- Explored advanced AMBA bus architecture by automatically generating models 20X faster than counterparts in the commercial tools in terms of simulation speed with the same timing accuracy
- Constructed an OpenRISC based processor simulator that can run 50X faster than the corresponding cycle-accurate models while providing the same cycle count information


## Education
### Doctor of Philosophy (Ph.D.) in Computer Science
National Tsing Hua University


## Contact & Social
- LinkedIn: https://linkedin.com/in/trent-lo-06089042

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Source: https://flows.cv/trentlo
JSON Resume: https://flows.cv/trentlo/resume.json
Last updated: 2026-04-12