Quick overview
Job description
Responsibilities:
- Develop and deploy large scale map systems including offline map management and online map loading (both in Python and C++).
- Support efficient map query interface in runtime for other modules like perception, prediction and planning.
- Improve online mapping/localization watchdog and event mining system.
- Improve mapping/localization CI system.
- Work in a cross-functional environment to understand the requirements and performance of other system components such as perception, prediction, planning, control, simulation and data infrastructure.
- Work with the operations team to communicate requirements around data collection, preprocessing, labeling, testing, and analysis.
Required Skills:
- Clear understanding in classic data structures and algorithms.
- Experience in designing and implementing large real-time C++ systems and infrastructure.
- Familiar with maintaining and creating CI/CD pipelines.
- Strong proficiency in C++.
- Experience in offline large-scale map management/deployment.
- Strong written and verbal communications.
- Self-motivated, comfortable operating without direct supervision.
Preferred Skills
- Experience in online multi-tiles large scale real-time map loading.
- Experience in developing, implementing, and testing localization algorithms, such as Lidar/Visual SLAM, and Kalman filtering.
- Experience in deep learning perception systems like spatial transformer, self/cross attention, object/lane detection/tracking.
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