Responsibilities:

• Design and optimize scalable interfaces for online lane and map representation.
• Improve cross-module map interfaces to support perception, prediction, and planning pipelines.
• Develop and enhance systems for large-scale map deployment, including offline map generation, version control, and online tile-based LiDAR map loading.
• Maintain and evolve the mapping watchdog and event mining systems to monitor system health and anomalies.
• Enhance the mapping CI system to support robust development and deployment workflows.
• Optimize performance of offline 3D reconstruction pipelines.
• Collaborate closely with cross-functional teams to understand system-wide dependencies and performance needs across perception, planning, control, simulation, and infrastructure.
• Work with the operations team to define requirements for data collection, preprocessing, labeling, and validation.

Required Skills:

• BS or MS in Computer Science, Computer Engineering, or a related technical field.
• 2+ years of experience in developing large-scale, real-time C++ systems.
• Strong proficiency in modern C++ and understanding of multi-threading, multiprocessing, and operating systems, e.g. ROS.
• Solid foundation in data structures, algorithms, and software design principles.
• Familiarity with large-scale map data pipelines and distributed systems.
• Familiarity with CI/CD systems, and maintaining production-grade infrastructure.
• Excellent written and verbal communication skills.
• Self-motivated, comfortable operating without direct supervision.

Preferred Skills:

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