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 Glydways perception team is responsible for designing and implementing a perception system that includes data fusion from state-of-the-art sensors (e.g., LIDAR, RADAR, High definition cameras, Ultra-wide-band radios, etc.) and robust detection, classification, and tracking of any and all obstacles that could present a hazard to the vehicle (Glydcars) in the system. The perception system for Glydways will reason about information from each Glydcar and from regularly spaced sensor pods monitoring the road network.

The perception team plays a vital role within the Autonomy Software engineering team. The team’s deliverables include:

Documenting a detailed design for enacting a safe system that can be certified by public transportation authorities.
Implementing said design on mature prototype vehicles in demonstrations to customers, potential customers, and investors.
Expanding the design to include fail-operational capabilities that extend the overall system to safely give our customers a more comfortable experience.
Managing data collection, autonomy testing, and milestone demonstration events that showcase the system’s maturing capabilities, leading to a production system.

Team members may work remotely and must be self-motivated.

Roles & Responsibilities:

Design, implement, and maintain high-performance C++ modules at the boundary of detection like tracking, and prediction.
Integrate outputs from multiple sensors(camera, lidar, radar, map) into EKF-based tracking and fusion systems.
Own metrics, evaluation pipelines, and tooling to measure detection and tracking quality and catch regressions at scale.
Define and maintain clear interfaces between perception, tracking, and planning modules with a focus on robustness and debuggability.
Develop simulation, log-replay, visualization, and offline analysis workflows to improve test coverage before on-vehicle deployment.

Knowledge, Skills and Abilities:

Strong proficiency in modern C++ (C++14/17 or newer).
Production experience with state estimation and multi-sensor fusion, including EKF/UKF, motion models, data association, and uncertainty handling.
Experience designing metrics and evaluation frameworks for real-time, ML-driven robotics systems.
Strong debugging skills across distributed and asynchronous pipelines, using logs and metrics to drive root-cause analysis.
Excellent verbal and written communication skills.

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.