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# Onboard Infrastructure Engineer

- **Company:** Bot Auto
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Computing Platforms, Systems Engineering, Middleware, Monitoring of Systems, Real-Time Operating Systems, Software Engineering, Systems Integration, Data Logging, Robot Operating System, High Performance Computing, Computer Equipment, Information Technology, Real Time Data, Data Management
- **Published:** June 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=cdc0c0547c3b4e74

## About the Role

Do you have experience in C?, Do you have a Master's degree?, * Bachelor's degree with 5+ years of experience, or a Master's degree with 2+ years of experience, in Computer Science or a related field.

 * A strong willingness to develop computationally efficient code with consistently low runtime variance
 * Proficiency in C/C++ programming
 * Write robust, reliable codes

Preferred:

 * Experiences in Sensor SW development
 * Experience with ROS (Robot Operating System), or similar middleware for robotics and autonomous systems.
 * 3+ years of experience in onboard infrastructure, embedded systems, or systems engineering.
 * Experience with autonomous driving technologies or similar high-performance computing systems
 * Experience with RTOS (Real-time Operating System)
 * Experience with Nvidia Drive Products (Orin/Thor)

## Description

We are looking for an Onboard Infrastructure Engineer to join our Autonomous Driving team. In this role, you will be responsible for developing and maintaining the onboard infrastructure that supports autonomous vehicle systems, ensuring reliable communication, data management, and system integration.

You would work on critical infrastructure projects for autonomous driving systems, such as implementing middleware/ROS core functionalities, conducting optimizations to reduce latency and improving system determinism. You will play a critical role in designing and optimizing the architecture that handles real-time data from sensors and computing hardware. This is a unique opportunity to work at the intersection of hardware, software, and real-world autonomous driving technology., * Design and implement onboard infrastructure modules (sensor driver, health management) to support real-time autonomous driving applications, ensuring computing efficiency, and SW reliability in resource demanding environments.

 * Monitor system performance and implement tools for diagnostics, logging, and recovery to ensure stable vehicle operations.
 * Optimize the deployment of autonomous driving software to embedded systems and onboard computing platforms.


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