Software Engineer Intern (Mapping/Calibration)

We are seeking highly motivated Software Engineer Intern to join our team to conduct cutting-edge research and development in Localization, Mapping and Calibration. This is an exceptional opportunity to contribute directly to the advancement of autonomous vehicle technology, working alongside a team that is leading the industry in location, mapping and calibration innovation. What you’ll be doing: Conduct advanced research and development on state-of-the-art state estimation problems, specifically focusing on scalability across city and multi-city environments. Research topics including, but not limited to: SLAM methods for city-scale mapping technologies, outdoor sensor calibration technologies, etc. Work with large-scale internal datasets to demonstrate the effectiveness of your research. Collaborate with different teams to deploy your research results onto autonomous vehicles. Publish the research results in papers and patents. What we are looking for: Bachelor's, Master's or PhD program in Computer Science, Electrical Engineering, Robotics, or a similar technical field of study. Strong research background in the field of SLAM, state estimation, and/or sensor calibration, with publications in any of the top-tier conferences (e.g., CVPR, ICCV, ECCV, ICRA, IROS, RSS). Experience in at least one of the following: applying machine learning techniques to mapping or geospatial problems, working with large-scale mapping datasets or systems, utilizing online calibration techniques for autonomous driving or robotics systems, or demonstrating a strong theoretical and practical background in computer vision (especially sensor calibration/SLAM). Strong communication and interpersonal skills. Proficiency in C++/Python coding, having experience in onboard programming, with an understanding of real-time systems is a plus. Previous experience in autonomous driving is preferred.