- Robot type
- Autonomous Vehicle
- Location
- RichmondCaliforniaUSA
- Job type
- Software
- Posted
- Jul 21, 2026
- Salary
- $190,000–$220,000 a year
Full-time
Software Engineer, Onboard Integration
Job description
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.
Job responsibilities
- 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.
Job requirements
- 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 2.
- Ability to own features end-to-end: clarifying requirements, designing, implementing, testing, and supporting them in the field.
