WoRV Team is Hiring!

Job Introduction - Visual SLAM Researcher

As a Visual SLAM Researcher, you will focus on developing Localization technologies that utilize camera sensor data to determine a robot's position in industrial environments.

The WoRV (World Model for Robotics and Vehicle Control) team is creating a general-purpose Foundation Model that integrates text, images, videos, and actions to solve robotics and autonomous driving challenges.

As of December 2024, the team is primarily working on the SketchDrive project, which addresses robotics navigation challenges. For more details, visit SketchDrive Project Introduction.

Key Responsibilities

• Contribute to the SketchDrive project:
  • Research Localization technologies using Visual Foundation Models.
  • Study vision-based Odometry, Localization, SLAM (Simultaneous Localization and Mapping), and VSLAM(Visual SLAM) technologies.

Required Skills

• Passion for proactively defining and solving problems.
• Experience developing Mapping/Localization technologies using sensors such as cameras, LiDAR, and GPS.
• Strong foundational knowledge and engineering skills in Computer Science:
  • Deep understanding of operating systems, data structures, algorithms, databases, and networks.
• Proficiency in C++, Python, and programming frameworks such as ROS and ROS2.

Preferred Qualifications

• Basic understanding of and interest in machine learning and deep learning.
• Proven experience in Computer Vision research.