Software Engineering Intern (Dispatch – Map Building)

Meet the team:

The Autonomy Dispatch team is responsible for how the Glydways fleet moves as a coordinated autonomous system. We design and implement algorithms for:

• Defining the physical layout of guideway segments and components such as stations, intersections, depots, etc.  And mapping connectivity between different sections of the network.
• Fleet-level planning and optimization (e.g., load-balancing vehicles across stations, choosing when and where to charge).
• Real-time routing and deconfliction to ensure vehicles move safely and efficiently through various zones of a transit system.
• Large-scale simulations used to size fleets, evaluate new system designs, and validate new algorithms before they reach real vehicles.

The team is a mix of software engineers and algorithm specialists with backgrounds in optimization, robotics, applied math, and large-scale simulation. We work primarily in C++ and Python, with a strong emphasis on high-quality code, rigorous testing, and reproducible experiments.

As an intern, you will collaborate closely with Dispatch engineers and cross-functional partners (e.g., Motion, Simulation, Data, and Commercial) on problems that directly affect system performance and commercial projects.

Roles & Responsibilities:

In this internship, you will:

• 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.

Knowledge, Skills and Abilities:

We’re looking for someone who brings:

• 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
• Familiarity with spatial data and mapping concepts (e.g., coordinate systems, graph-based maps, GeoJSON, GIS tools, or interactive map frameworks) is a plus.
• 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.