Jason Lowe
Apache Foundation Member
Urbana, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolJason Lowe is a seasoned software engineer with 13+ years building everything from embedded Linux and high-performance simulators to large-scale distributed data platforms. Now a Distinguished Distributed System Software Engineer at NVIDIA and long-time Apache Foundation member, he specializes in accelerating big data processing—contributing GPU writers and ORC integration to the widely used NVIDIA/spark-rapids project. As a committer and PMC member for Apache Hadoop and Tez, he drives stability and performance fixes at the core of modern data infrastructure. His background includes systems architecture and simulator performance work at Motorola and game/graphics systems, giving him uncommon depth in low-level optimization and cross-domain debugging. Based in Urbana-Champaign, he combines pragmatic engineering with open source stewardship, often surfacing subtle concurrency and I/O fixes that prevent production regressions.
13 years of coding experience
28 years of employment as a software developer
University of Illinois Urbana-Champaign
Stackoverflow
11reputation
106reached
3answers
0questions
Github Skills (37)
apache-spark10
c-language10
back-end-development10
hadoop10
java10
javas10
jna10
tez10
yarn310
yarnpkg10
yarn-berry10
yarn210
cprogramming-language10
gpu-acceleration10
leveldb9
Programming languages (8)
Github contributions (5)
NVIDIA/spark-rapids
Apr 2019 - Jan 2023
Spark RAPIDS plugin - accelerate Apache Spark with GPUs
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5400 reviews, 918 commits, 1259 PRs in 3 years 9 months
Contributions summary:Jason's commits primarily focus on updating the ORC (Optimized Row Columnar) data format component to align with recent changes in Apache Spark's ORC dependency. The changes involve updating ORC-related code, including adjustments to the shading and data structures to improve handling of columnar data. In addition, they introduced and implemented a framework for GPU data writers within the Spark RAPIDS plugin, enhancing the ability to perform write operations on GPUs.
gpu-accelerationgpuapachebig-dataspark
apache/hadoop
Sep 2012 - Apr 2020
Apache Hadoop
Role in this project:Backend Developer
Backend DeveloperContributions:1241 commits, 7 comments in 7 years 7 months
Contributions summary:Robert Kanter contributed to improving and stabilizing Hadoop. His commits focused on addressing issues such as performance regression and race conditions within the task processing loop. The commits also included the addition of features, such as setting the job priority.
apachebig-datasparkhadoopjava
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.