Summary
Simon Hollis is a Technical Lead with 11+ years blending deep research and product engineering to build energy-efficient ML compilers and hardware-software co-design for AR/VR systems. He has authored 35+ papers and several patents, and has led teams at Meta/Facebook to deliver vertically integrated compilers that maximize inference performance and energy efficiency across custom accelerators. His background spans academia and industry—PhD from Cambridge, faculty leadership at Bristol, FPGA and neuromorphic work at Xilinx and IBM—that uniquely positions him to bridge novel architectures with practical tooling and PyTorch-centric workflows. An active open-source contributor, he now leads efforts on a world-class ML compiler for on-device inference and also drives AI-powered code search and authoring initiatives. Notably, his career combines hands-on microarchitecture design and full-stack compiler delivery, giving him rare end-to-end expertise from chip bring-up to production ML stacks.
11 years of coding experience
16 years of employment as a software developer
Postgraduate Certificate of Higher Education (PGCHE) Education, Postgraduate Certificate of Higher Education (PGCHE) Education at University of Bristol
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Cambridge
Certificate of Industrial Training, Certificate of Industrial Training at Durham University
Certificate of Intensive Studies Mandarin Chinese, Certificate of Intensive Studies Mandarin Chinese at Beijing Language and Culture University
English, Chinese