Jonathan Saylor

Member Of Technical Staff AI & HPC Enablement at AMD

Austin, Texas, United States
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Summary

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Senior
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Top School
Jonathan Saylor is an embedded systems and HPC engineer with 11+ years building hardware, firmware, and software solutions across defense, transportation, and AI workloads. He has led end-to-end development of FPGA-based PCIe mini devices for real-time data capture and novel features like wire degradation detection and LRU system fingerprinting, and now helps customers optimize AI/HPC stacks on AMD EPYC and Instinct hardware. Jonathan pairs low-level DSP, RF, and FPGA expertise with software engineering—driving FHE and NTT optimizations in OpenFHE and enabling hardware acceleration across GPUs, AVX, and ASICs. A proven technical leader and mentor, he has driven product roadmaps, CI/CD and verification practices, and secured significant business development wins. Based in Austin, he blends practical production scaling experience with open-source impact on a major homomorphic encryption library—highlighting a rare mix of algorithmic depth and hands-on hardware design.
code5 years of coding experience
job13 years of employment as a software developer
bookBachelor of Applied Science (BASc) Computer Engineering, Bachelor of Applied Science (BASc) Computer Engineering at The University of New Mexico
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Stackoverflow

Stats
321reputation
2.6mreached
2answers
0questions
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Github Skills (7)

cpp10
cryptography10
homomorphic-encryption10
docker6
linux6
vhdl6
ubuntu6

Programming languages (1)

C++

Github contributions (3)

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This is the development repository for the OpenFHE library. The current (stable) version is v1.2.4 (released on March 21, 2025).
Role in this project:
userBackend Developer
Contributions:8 commits in 4 months
Contributions summary:Jonathan's contributions primarily focused on the core implementation and optimization of the OpenFHE library, specifically related to homomorphic encryption. They made significant changes to the `DCRTPolyImpl` class, including inheriting from an interface and adding various methods such as `Clone`, `CloneTowers`, and operators. Additionally, the user introduced a `HexlDCRTPoly` class for HEXL-specific optimizations, further indicating a focus on performance and low-level improvements. Further contributions included the integration of v1.11.6 updates and fixes for Apple M1 processor builds.
fully-homomorphic-encryptioncryptographycppprivacysecure-multiparty-computation
Integer examples for OpenFHE library. Based off of https://gitlab.com/palisade/palisade-integer-examples
Contributions:5 commits in 5 months
integergitlabroot-finding
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Jonathan Saylor - Member Of Technical Staff AI & HPC Enablement at AMD