Research Software Intern - SLAM, Machine Learning & Sensor Calibration

Currently enrolled in a Master's or PhD program in Computer Science, Electrical Engineering, Robotics, or similar. Strong research background in SLAM, state estimation, and/or sensor calibration with publications in top-tier conferences. Experience in applying machine learning to mapping or geospatial problems, working with large-scale mapping datasets, or utilizing online calibration techniques. Strong theoretical and practical background in computer vision (especially sensor calibration/SLAM). Proficiency in C++/Python coding. Experience in onboard programming and understanding of real-time systems is a plus. Previous experience in autonomous driving is preferred.

Conduct advanced research and development on state estimation problems, focusing on scalability. Research SLAM methods for city-scale mapping technologies and outdoor sensor calibration. Work with large-scale internal datasets to demonstrate research effectiveness. Collaborate with different teams to deploy research results onto autonomous vehicles. Publish research results in papers and patents.