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We are seeking a highly skilled and motivated Senior Software Engineer to join our Mapping & Localization team. In this role, you will be responsible for enhancing both the online and offline components of our mapping infrastructure, including online map interface, map version control, tile-based LiDAR map generation, and large-scale map management. You will play a critical role in supporting runtime map queries for key modules such as perception, localization, prediction, and planning.
Job Responsibility:
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
Requirements:
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
Nice to have:
Hands-on experience with mapping and localization algorithms, such as LiDAR/Visual Odometry, SLAM, or Kalman filtering
Experience working on offline 3D reconstruction systems
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