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.
- Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
- Ensure team compliance with QMS, monitor quality, and drive process improvements.
Required Skills:
- BS or MS in Computer Science, Computer Engineering, or a related technical field.
- 3+ 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.
