Joseph Lisee
Director Software Foundations & Architecture
Falls Church, Virginia, United States
Summary
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Rockstar🎓
Top SchoolJoseph Lisee is a Staff Software Engineer with 19 years of experience designing and implementing systems that bridge physical robotics and software, currently leading developer and cloud infrastructure for next-generation transportation at Glydways. He built developer platforms and web-first visualization tooling at Aurora and Uber, including substantial contributions to the open-source XVIZ protocol and streetscape.gl for autonomy data visualization. Comfortable across C++, Python, Go and embedded stacks, he focuses on software architecture, developer experience, and AI-driven tooling to accelerate safe robotics development. Known for scaling monorepos, CI, and testing for large engineering teams, he combines hands-on full-stack implementation with platform-level thinking. Based in Falls Church, VA, he blends robotics research roots from Carnegie Mellon with production-grade engineering that repeatedly turns complex sensor and autonomy needs into practical, testable systems.
19 years of coding experience
17 years of employment as a software developer
The University of Maryland, College ParkMS Robotics, MS Robotics at Carnegie Mellon University
English
Stackoverflow
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23answers
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Github Skills (32)
data-visualizations10
javascript10
robotics10
schema-validation10
json-schema10
testing10
data-visualisation10
data-visualization10
protocols10
hex9
json9
python9
gpu9
protobuffer9
react9
Programming languages (11)
Github contributions (5)
aurora-opensource/xviz
Aug 2018 - Jun 2020
A protocol for real-time transfer and visualization of autonomy data
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:120 commits, 43 PRs, 40 pushes in 1 year 11 months
Contributions summary:Joseph primarily focused on enhancing the XVIZ protocol and related tooling, which included developing a schema validation tool to compare schema files. They modularized and expanded the XVIZ schema, incorporating new features such as session metadata and various geometric primitives. Furthermore, the user significantly contributed to the transition of the validation process from a CLI tool to a testing framework, implementing tests and improving error reporting.
visualization3droboticsself-driving-carprotocol
aurora-opensource/streetscape.gl
Aug 2018 - Jun 2019
Visualization framework for autonomy and robotics data encoded in XVIZ
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:17 commits, 10 PRs, 10 pushes in 10 months
Contributions summary:Joseph's contributions primarily involved updating the XVIZ stream loader to be compatible with XVIZ 2 servers, including changes to request parameters and the `xviz-controller-v2.js` file, demonstrating backend logic. The user also modified the front-end code in `stream-settings-panel.js` and `stream-settings-panel.spec.js` to support collapsing stream settings. Further, they enhanced the project by fixing broken documentation links, adding tests for link validation, and bumping package versions to incorporate security fixes.
roboticsvisualizationdata-visualization
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