Bot Auto

Company Introduction At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality. 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. Key Responsibilities 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. Qualifications

• Design and implement validation algorithms and metrics for planning and control performance (safety, comfort, efficiency, compliance). • Build and maintain scalable evaluation pipelines for offline and closed-loop testing. • Analyze failures and regressions, identify root causes, and drive algorithm improvements. • Partner closely with planning, control, simulation, and safety teams to validate new capabilities before release. • Provide technical leadership on validation methodology and best practices.