Senior Software Engineer, 3D Computer Vision

What You Get To Do:

• Develop and optimize point cloud processing pipelines, including registration, denoising, normal estimation, segmentation, and primitive extraction
• Design efficient algorithms for large-scale, unstructured 3D datasets with attention to memory and runtime performance
• Implement production-grade computational geometry and linear algebra in C++ and Python
• Solve complex reconstruction challenges such as loop closure, global consistency, and multi-view fusion
• Evaluate and integrate emerging 3D vision methods (e.g., neural implicit representations, advanced meshing techniques)
• Partner with platform teams to ensure scalable, efficient deployment of algorithms

What You Bring:

• 4+ years of experience in Computer Vision, Computational Geometry, or 3D-focused Software Engineering
• Master’s or Ph.D. in Computer Science, Applied Mathematics, or related field with specialization in 3D vision or geometric processing
• Strong proficiency in modern C++ (C++14/17) and Python
• Solid mathematical foundation in 3D geometry, linear algebra, rigid body transformations (SE(3), quaternions), and projective geometry
• Deep experience with point cloud algorithms (ICP, GICP, RANSAC, NDT, region growing) and spatial data structures (k-d trees, octrees, voxel grids)
• Hands-on experience with libraries such as PCL, Open3D, Eigen, or Ceres
• Familiarity with common 3D data formats (PCD, PLY, E57, LAS)
• Strong problem-solving skills and ability to translate academic research into production-ready code

What Sets You Apart:

• Experience with non-linear optimization frameworks (Ceres, GTSAM, g2o) for bundle adjustment or pose graph optimization
• Background in SLAM or Structure from Motion (SfM) pipelines
• Experience processing LiDAR, RGB-D, or photogrammetry datasets
• Familiarity with Linux development environments and containerization (Docker)
• Exposure to ROS (not required)
• Knowledge of survey-grade accuracy standards and georeferencing algorithms