Software Engineer, Onboard Integration

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 Integration team builds the software foundation that runs on every Glydways vehicle. Part of the Embedded Platform & Integration group we partner daily with Vehicle Hardware Autonomy Safety and Track Operations to turn a collection of components into a cohesive system on the road. Our work spans streaming data from new sensors controlling vehicle actuators building our custom embedded Linux OS integrating ML runtimes and writing the tools that keep live track operations moving -we own the glue that makes an autonomous vehicle actually drive. This is software that moves real vehicles carrying real passengers so reliability isn't a nice-to-have - it's the job. As a Software Engineer on Onboard Integration you won't be handed narrowly scoped tickets. You'll take a problem from the whiteboard to code running on a vehicle at our test track get hands-on with the newest hardware in the building and debug across the software firmware and electrical boundaries where the hard problems live. We're looking for engineers who are genuinely excited about autonomous vehicles and PRT who take initiative in ambiguity find signals in noisy systems and own their work end-to-end.

What You'll Do

Design build and test mission-critical onboard software that runs on every Glydways vehicle from prototype to deployment on track. Own high-performance interfaces to onboard devices—from cameras radar LiDAR and IMUs to drive-by-wire controls and other vehicle systems. Develop and integrate runtimes and middleware so autonomy and ML workloads can execute and communicate reliably onboard. Design and improve systems for live track operations software deployment vehicle provisioning logging and observability. Collaborate with Autonomy Hardware and Operations teams to define interfaces build evaluation pipelines on real and simulated vehicles and ship features to the fleet. Investigate and debug issues on the bench and on-vehicle driving them to root cause and stable fixes. Shape technical direction for the areas you own and raise the bar through design discussions and code reviews. Knowledge

Skills and Abilities

Required Qualifications

4+ years of professional software engineering experience including shipping and supporting production systems. Strong proficiency in C++ or C for production systems—comfortable navigating and improving an existing codebase as well as writing new components. Experience developing device drivers or low-level interfaces for sensors and/or actuators including use of hardware-in-the-loop (HIL) or similar test frameworks. Experience developing on resource-constrained embedded hardware (CPU memory storage or bandwidth limited). Solid understanding of communication protocols from low-level (SPI UART CAN) to higher-level networking (TCP/UDP). Experience with Linux especially embedded environments (e.g. Yocto Buildroot or similar). Experience with robotics middleware such as ARK LCM ROS or ROS

• Ability to own features end-to-end clarifying requirements designing implementing testing and supporting them in the field.

Preferred Qualifications

Familiarity with ML inference runtimes and integrating ML models into production or edge systems (training experience is a plus not required). Contributions to open-source AI robotics or embedded frameworks. Experience with automotive or other real-time safety-critical systems. Prior work in autonomous vehicles robotics or complex mechatronic systems. Experience with performance engineering on embedded CPU/GPU and hardware accelerators. Experience collaborating directly with operations and field teams to debug and improve systems running in production environments. If you're excited about this work but don't check every box we'd still love to hear from you. We know the best candidates don't always match every line of a job description. This is a hybrid position 2-3 days/week onsite in Richmond CA. No relocation assistance will be provided. The pay range for this position at commencement of employment in California is expected in the range below $190000-$220000 USD plus stock options commensurate with experience. 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.