Senior Software Engineer, 3D Computer Vision

What you'll do

• Develop pipelines for point-cloud registration, denoising, segmentation, and related processing.
• Design efficient algorithms for large 3D datasets and implement production-grade computational geometry in C++ and Python.
• Address reconstruction challenges, evaluate emerging 3D vision methods, and support scalable deployment.

What they ask for

• 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 a related field, specializing in 3D vision or geometric processing.
• Strong proficiency in modern C++ (C++14/17) and Python, with a solid foundation in 3D geometry, linear algebra, transformations, and projective geometry.
• Deep experience with point-cloud algorithms and spatial data structures; hands-on experience with libraries such as PCL, Open3D, Eigen, or Ceres.

Nice to have

• Experience with non-linear optimization frameworks for bundle adjustment or pose graph optimization; background in SLAM or SfM.
• Experience with LiDAR, RGB-D, or photogrammetry data; familiarity with Linux, Docker, ROS, survey-grade accuracy, or georeferencing.

Pay

USD 160,000–240,000 per year (base salary)

Tools

C++14/17, Python, PCL, Open3D, Eigen, Ceres, GTSAM, g2o

AI focus

Develop 3D vision and reconstruction methods, including evaluating neural implicit representations and other emerging approaches.