
Software Engineer, SLAM
2 weeks ago
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.
- 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.
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