The role involves designing and developing machine learning infrastructure for annotation, evaluation, and training models, focusing on scalable systems and efficient data workflows.

The Onboard Infrastructure Engineer will develop and maintain onboard systems for autonomous vehicles, focusing on reliability, data management, and system integrations.

Join Bot Auto to work on AI-driven autonomous technologies, focusing on SLAM systems, localization algorithms, and deep learning for robust perception in self-driving vehicles.

The intern will research and implement RL-based algorithms for planning and control in autonomous vehicles using C++, analyze results, and collaborate with engineers.

Develop learning-based algorithms for online map building using deep learning techniques, focusing on road feature detection in dynamic environments.

The Onboard Infrastructure Engineer will develop and maintain onboard infrastructure for autonomous vehicles, focusing on software reliability, system integration, and performance optimization.

Join Bot Auto as a Senior Machine Learning Engineer focused on advancing autonomous driving through machine learning technologies, collaborating on various projects and lifecycle management of ML solutions.

Bridge R&D and operations to retrofit autonomous kits onto truck chassis and keep fleets operational. Design production tooling, develop SOPs and PFMEA, support NPI/DFM, implement quality standards, and diagnose AD sensor, Drive-by-Wire, and vehicle communication issues to ensure high fleet uptime.