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 Onboard Infrastructure team, as a part of Software Platform, works closely with teams across Glydways spanning Vehicle Hardware to Autonomy to provide the software foundation for running and controlling the robot on the road. Whether it’s streaming data from the latest sensors, controlling actuators on the vehicle, creating a custom OS, shipping a new ML framework, or writing tools and systems to support live track operations - the Onboard Infrastructure team gets things done to keep the vehicle and other teams moving forward.
Roles & Responsibilities:
- Design, build, and test mission critical onboard software for the Glydways platform.
- Write high performance code responsible for interfacing with onboard devices, from sensors (Camera, Radar, LiDAR, IMU) to vehicle systems (DBW, controls, actuators, etc).
- Develop and integrate runtimes and middlewares for code and ML models to execute and communicate onboard.
- Contribute to design and implementation for live track operations such as software deployment, vehicle provisioning, and logging.
- Work with Autonomy teams to design, build, and execute runtime and evaluation pipelines.
- Decode, implement, and optimize communication with devices over various protocols, transports, middlewares, and connections.
Knowledge, Skills and Abilities:
- Expert level knowledge of C or C++ programming; other languages and skills also valuable.
- Experience with driver development for sensors and actuators and usage of test frameworks with Hardware in the Loop
- Experience developing on resource-constrained embedded hardware
- Experience with ML training and inference methods
- Bonus points for contributions to an AI framework
- Strong knowledge of communication protocols, from low level (SPI, UART, CAN) to high level (TCP/UDP)
- Experience with robotics middleware, such as ARK, LCM, ROS, or ROS2.
- Experience with Linux operating systems, especially embedded environments.
- Bonus points for additional experience with automotive or other real time safety critical systems.
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.
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