🛠 Tech Stack

💼 About This Role

You'll design and optimize scalable online lane and map interfaces and large-scale mapping infrastructure for autonomous driving. Your core impact will be supporting runtime map queries for perception, localization, prediction, and planning modules. This role offers hands-on work with LiDAR map generation and offline 3D reconstruction systems.

🎯 What You'll Do

• Design and optimize scalable interfaces for online lane and map representation.
• Develop and enhance systems for large-scale map deployment and version control.
• Optimize performance of offline 3D reconstruction pipelines.
• Maintain mapping watchdog and event mining systems for system health monitoring.

📋 Requirements

• BS or MS in Computer Science, Engineering, or related field.
• 3+ years experience in developing large-scale, real-time C++ systems.
• Proficiency in modern C++ with multi-threading and operating systems (ROS).
• Familiarity with large-scale map data pipelines and distributed systems.

✨ Nice to Have

• Hands-on experience with mapping and localization algorithms (LiDAR/Visual Odometry, SLAM, Kalman filtering).
• Experience with offline 3D reconstruction systems.