1. Develop and optimize localization algorithms using sensor fusion (GNSS, IMU, LiDAR, camera). 2. Integrate localization modules into the autonomous driving software stack and ensure real-time performance. 3. Collaborate with perception, planning, and mapping teams to improve positioning accuracy and system robustness. 4. Analyze localization failures and edge cases; propose and implement solutions to improve reliability. 5. Support testing, validation, and deployment of localization systems in real-world environments. Job Requirements: 1. Strong understanding of localization techniques, SLAM, and sensor fusion algorithms. 2. Proficiency in C and Python; experience with ROS or similar middleware is a plus. 3. Familiarity with GNSS, IMU, LiDAR, and camera-based positioning systems. 4. Experience with debugging and performance tuning in real-time embedded systems. 5. Ability to work collaboratively in cross-functional teams and communicate effectively.