Hongyi Jia
Staff Software Engineer, AI Framework at Facebook
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolHongyi Jia is a Senior Staff Software Engineer in the San Francisco Bay Area with 11 years of experience building large-scale distributed systems, realtime streaming, and Linux kernel subsystems. At Facebook he now drives PyTorch framework work—optimizing distributed training and inference for recommenders and LLMs—after leading teams that delivered high-throughput ad audience measurement and async C++ computation pipelines. His background spans low-level systems (file systems, networking, disk cache, video drivers) to full-stack product work including web, iOS, and macOS apps, giving him rare end-to-end insight from kernel to user interface. He has a history of shipping production device drivers and storage simulators in C, and has repeatedly turned research-grade algorithms into robust engineering at scale. Comfortable mentoring and building teams from scratch, he combines deep systems expertise with practical ML framework engineering. A Dartmouth MS and dual MS/Bachelor training in communications and computer engineering underpin his cross-domain fluency.
11 years of coding experience
6 years of employment as a software developer
Bachelor's Degree, Communication Engineering, Bachelor's Degree, Communication Engineering at Beijing University of Posts and TelecommunicationsMaster of Science (M.S.), Communication and Information Systems, Master of Science (M.S.), Communication and Information Systems at Beijing University of Post and TelecommunicationsMaster of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at Dartmouth College
English
Github Skills (30)
pytorch10
recommendation-system10
matrix10
python10
acceleration10
machine-learning10
multiplication10
sharding10
facebook10
numpy10
deep-learning10
tensorflow10
gpu10
recommender-system10
autograd10
Programming languages (2)
Github contributions (5)
jiayisuse/pytorch
Nov 2019 - Aug 2023
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:53 pushes, 18 branches in 3 years 9 months
pythongpu-accelerationdeep-learninggpuacceleration
jiayisuse/torchrec
Nov 2022 - May 2024
Pytorch domain library for recommendation systems
Contributions:14 pushes, 12 branches in 1 year 5 months
pytorchrecommendation-systemsdomainrecommendation
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.