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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Onboard Integration - **Company:** Glydways, Inc. - **Location:** North Richmond, CA, United States - **Experience:** Experienced - **Salary:** $190,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automation of Tests, UClibc (C Standard Library), C++ (Programming Language), Code Review, Communications Protocols, Software Debugging, Linux, Device Drivers, Linux on Embedded Systems, Middleware, Embedded Operating Systems, Firmware, Design of User Interfaces, Hardware-In-The-Loop Simulation, Human-Computer Interaction, Machine Learning, Open Source Technology, Software Deployment, Software Engineering, Data Streaming, Universal Asynchronous Receiver/Transmitter, Data Logging, Computer Networking Systems, Evaluation Pipelines, Safety Critical Systems, Yocto, Hardware Acceleration, Machine Learning Operations, Multiaccess Edge Computing, Lidar - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-onboard-integration-richmond-ca--0613819b-a055-4e03-ae97-30d463da0c92 ## About the Role Software Engineering, Environmental Impact, User Interface/Experience (UI/UX), Network Systems, Automotive Automation, Embedded Systems, Embedded Linux, Linux Operating System, Embedded Operating Systems, Computer Firmware, * 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., * 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. ## Description 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.