🛠 Tech Stack

💼 About This Role

You'll develop advanced algorithms for 3D reconstruction and spatial understanding using high-fidelity laser scanners and imaging sensors. You'll design and optimize pipelines for processing large-scale 3D point cloud datasets, focusing on computational geometry and reconstruction accuracy. This role emphasizes strong mathematical foundations and high-performance software over direct robot hardware development.

🎯 What You'll Do

• Develop and optimize point cloud processing pipelines (registration, denoising, segmentation).
• Design efficient algorithms for large-scale, unstructured 3D datasets.
• Implement production-grade computational geometry in C++ and Python.
• Solve reconstruction challenges like loop closure and multi-view fusion.

📋 Requirements

• 2+ years of experience in Computer Vision or Computational Geometry.
• Master's or Ph.D. in CS, Math, or related field with 3D vision specialization.
• Strong proficiency in modern C++ (C++14/17) and Python.
• Deep experience with point cloud algorithms (ICP, RANSAC, NDT) and spatial data structures.

✨ Nice to Have

• Experience with non-linear optimization frameworks like Ceres or GTSAM.
• Background in SLAM or Structure from Motion pipelines.
• Experience processing LiDAR, RGB-D, or photogrammetry datasets.