Jung Ko
Principal Machine Learning Architecture Engineer at Rivian
California, United States
Summary
👤
Senior🎓
Top SchoolJung Ko is a Principal Machine Learning Architecture Engineer with 15 years of experience designing, implementing, and bringing up ML inference chips and field-programmable devices from concept to silicon. He blends deep hardware expertise in advanced process nodes (14nm–22nm) and FPGA fabrics with software skills in compiler/assembler development, cycle-accurate simulation, device drivers, and embedded inference libraries. At Perceive he led end-to-end delivery of a novel edge ML inference chip—authoring the initial toolchain and CI for hardware/software verification—and now applies that systems-level thinking at Rivian. Known for solving hard timing-closure and silicon bring-up problems, he also builds in-house CAD and verification tools to accelerate iteration. Based in California, he combines academic rigor (MSc ECE) with hands-on lab and production experience across startups and tier-one semiconductor teams.
14 years of coding experience
20 years of employment as a software developer
MSc, Electrical and Computer Engineering, MSc, Electrical and Computer Engineering at University of AlbertaBEng, Electrical Engineering, BEng, Electrical Engineering at Concordia University
English, Chinese, Spanish
Stackoverflow
1reputation
0reached
2answers
0questions
Github Skills (36)
memory-efficient9
serializer9
json-parser9
json9
java9
serialization9
flatbuffers9
mmap9
protobuf9
binary-data9
rust8
grpc8
python8
cross-platform8
rpc8
Programming languages (3)
Github contributions (5)
kojung/elfs
May 2020 - Mar 2023
Extensible Laser Firing System
Contributions:18 PRs, 137 pushes, 30 branches in 2 years 9 months
laserextensible
kojung/git-dashboard
Mar 2022 - Jan 2023
Dashboard for multiple git repositories
Contributions:9 releases, 18 PRs, 46 pushes in 10 months
repositoriesmultiple-gitdashboard
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