SLAM Specialist

Job DescriptionHyperever is seeking an experienced SLAM specialist to join our team. As a key member of our robotics engineering group, you will be responsible for developing and optimizing real-time SLAM algorithms for autonomous robotic applications.

We are looking for a highly skilled individual with expertise in robotic perception, image processing, and high-density map generation. The ideal candidate will have experience with point cloud post-processing techniques, including noise filtering, downsampling, and surface reconstruction.

Key Responsibilities

• Develop and optimize SLAM algorithms (LiDAR, Visual, RGB-D, or Multi-Sensor Fusion) for real-time applications.
• Implement point cloud processing pipelines for noise filtering, segmentation, and high-density map generation.
• Work with image processing and deep learning techniques for feature extraction, obstacle detection, colorization, and enhancement of point clouds.
• Integrate multi-sensor fusion using LiDAR, cameras, IMUs, and/or GPS for robust localization and mapping

Requirements

• Bachelor's, Master's, or PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
• Strong background in Simultaneous Localization and Mapping (SLAM), including both LiDAR-based and vision-based SLAM.
• Experience with point cloud post-processing techniques, including noise filtering, downsampling, and surface reconstruction.
• Proficiency in high-density point cloud colorization using RGB-D cameras, multi-sensor fusion, or deep learning techniques.
• Experience with map generation techniques for robot navigation and environment reconstruction.
• Solid understanding of computer vision and image processing techniques.

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