Joshua Minor
Staff Software Engineer at Arm
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolJoshua Minor is a Staff Software Engineer based in Austin with nine years building edge-computing, IoT-interfaced embedded systems, and web applications, grounded in an Electrical and Computer Engineering degree from UT Austin. At Arm he progressed from graduate research roles to staff-level engineering, focusing on highly distributed systems and intelligent workload scheduling. He blends research rigor with practical tooling and DevOps skills—contributing ARM32 support and architecture-specific ptrace/fanotify changes to the open-source slim toolkit that broadened its platform reach. Known for shipping cross-domain solutions, he thrives on making resource-constrained systems more efficient and secure while translating academic insights into production-ready software.
9 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Electrical and Computer Engineering, Bachelor’s Degree Electrical and Computer Engineering at The University of Texas at AustinHigh School Diploma, High School Diploma at Vandegrift High School
English
Github Skills (12)
arm10
system-calls10
container10
docker10
go10
architectures10
dockers10
architecture10
build-automation9
golang8
devops8
seccomp5
Programming languages (8)
Github contributions (5)
slimtoolkit/slim
Mar 2019 - Apr 2019
Slim(toolkit): Don't change anything in your container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source)
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:7 commits, 7 comments, 2 issues in 19 days
Contributions summary:Joshua contributed to the project by implementing ARM32 support and related configurations. This included modifying the build scripts to generate ARM32 binaries, as well as adapting system call definitions and ptrace monitoring functionality for the ARM architecture. The user also addressed fanotify compatibility for ARM32. These changes expanded the project's platform support and ensured compatibility with ARM-based systems, likely improving container image minification capabilities.
docker-imageminifyruncdevcontainercompiled
jishminor/server
Mar 2021 - Jan 2022
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Contributions:33 pushes, 7 branches in 10 months
inferencemachine-learningedgetriton-inference-serveroptimized
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