Who we are:
Glydways is reimagining what public transit can be. We believe that mobility is the gateway to opportunity—connecting people to housing, education, employment, commerce, and care. By making transportation more accessible, affordable, and sustainable, we empower communities to thrive and unlock economic and social prosperity.
Our mission is to revolutionize transit with a solution that delivers high capacity, exceptional user experiences, unmatched affordability, and minimal environmental impact.
The Glydways system is a groundbreaking network of carbon-neutral, interconnected transit pathways powered by standardized autonomous vehicles on dedicated roadways. Operating 24/7 with on-demand access, it offers personalized and efficient mobility—without the burden of heavy upfront infrastructure costs or ongoing taxpayer subsidies.
With Glydways, we’re building more than a transportation system; we’re creating a future where everyone, everywhere, has the freedom to move.
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.
Glydways provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
