Software Engineering Intern (Dispatch – Map Building)

Glydways is a company focused on transforming public transit to improve accessibility and sustainability. The Software Engineering Intern will work with the Autonomy Dispatch team to develop tools for dispatch mapping and collaborate on projects that enhance system performance and user experience.

Responsibilities:

• Lead development of an interactive dispatch mapping tool that allows users to place, size, and configure stations, junctions, and depots; connect them by drawing paths; and export the resulting network so it can be ingested directly by an existing scenario simulator
• Design intuitive editing workflows and UI interactions (e.g., drag-and-drop placement, resize handles, path drawing, property panels, and validation feedback) to enable engineers and operators to quickly build, modify, and verify dispatch maps without manual file editing
• Integrate simulation outputs, demand matrices, routing data, and performance metrics into the mapping tool to enable rapid “what-if” analysis and scenario exploration
• Contribute production-quality code to the Dispatch codebase in C++, Typescript, and/or Python, including unit tests, integration tests, and clear documentation
• Collaborate with teammates to translate high-level operational or commercial questions (e.g., “How many vehicles do we need for this project?” or “What if charging is slower?”) into well-posed optimization or simulation studies
• Participate in code reviews and design discussions, giving and receiving feedback to improve both code quality and overall system design

Requirements:

• Experience building interactive tools or visualization interfaces (web or desktop)
• Coursework or experience in mapping, spatial systems, or network modeling, including topics such as: Graph representations of road or guideway networks, Path connectivity and topology modeling, Basic optimization concepts (e.g., linear or mixed-integer programming) as applied to routing or resource allocation
• Strong grasp of algorithms, data structures, and computational complexity, with comfort reasoning about performance tradeoffs in large-scale systems
• Software engineering fundamentals: Comfort working in a Linux environment, Experience with version control (git) and collaborative development workflows, Ability to write clear, maintainable, and tested code
• Ability to communicate technical ideas clearly, both in writing and discussion, and to collaborate effectively with teammates across disciplines
• Familiarity with spatial data and mapping concepts (e.g., coordinate systems, graph-based maps, GeoJSON, GIS tools, or interactive map frameworks) is a plus