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:
You will join a team that is responsible for developing software for localization, calibration, and mapping of robotic ground vehicles, which we lovingly refer to as Glydcars. The team is composed of team members with strong backgrounds in sensor fusion (LIDAR, RADAR, vision processing, UWB radios, inertial sensors, etc), SLAM (Simultaneous Localization and Mapping), optimization, filtering (Kalman filters, factor graphs, etc) and tracking. Members support development and maintenance of core components of a sophisticated autonomy stack for Glydcars, which operate in a variety of environments including GPS-denied areas. Team members contribute by writing C++ onboard software, peer-reviewing each other’s contributions, developing unit, subsystem, and end-to-end tests, and conducting data analysis (often using Python) in a common software repository.
Roles & Responsibilities:
- Develop and enhance state-of-the-art algorithms for localization and mapping from LIDAR/RADAR/UWB Range Sensors/IMU/Encoders, etc.
- Improve upon existing integrity monitoring capabilities to provide a robust, safe localization system for passenger rides
- Work closely with teammates by conducting and receiving code reviews and demonstrating attention to detail.
- Conduct simulation (including developing and passing unit tests, subsystem tests, and end-to-end scenarios) and live testing of the autonomy stack.
- Perform detailed analysis of algorithm and system performance by replaying logs of simulated and live testing and augmenting analysis capabilities.
- Participate in the design of safety-critical software components of the Glydcar and wayside systems.
- Deliver answers and results to tough problems including providing cm-level accurate localization and mapping in GPS-denied environments.
Knowledge, Skills and Abilities:
- PhD in a relevant field (engineering/computer science) and 3+ years or MSc and 5+ years of professional experience.
- C++ Programming Skills: experience and excellent skills with modern variants of C++ (e.g., C++20), experience with a C++ unit testing framework such as gtest, experience working with CMake and/or bazel build systems.
- Thorough knowledge and implementation experience in several localization/mapping algorithms such as factor graph optimization, numerical optimization, scan-matching, multilateration, integrity monitoring, etc.
- Familiarity and competence with mathematical concepts such as rigid body transforms, 3D calculus, 6DOF kinematics, probability theory, and linear algebra.
- Bonus: extensive experience in Receiver Autonomous Integrity Monitoring (RAIM).
- Bonus: experience in safety qualification standards related to localization accuracy.
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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