Senior Software Engineer, 3D Computer Vision

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

FieldAI is seeking a 3D Computer Vision Engineer to develop advanced algorithms for 3D reconstruction and spatial understanding.

In this role, you will work with high-fidelity laser scanners and imaging sensors to design and optimize pipelines for processing, analyzing, and structuring large-scale 3D point cloud datasets. You will focus on computational geometry, reconstruction accuracy, and production-grade implementation — delivering precise geometric insight from real-world data.

This role emphasizes strong mathematical foundations and high-performance software over direct robot hardware development.

• 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

• 2+ 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

• 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

$135,000 - $170,000 a year

Our salary range is generous and we take into consideration an individual’s background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job‑related knowledge, skills, and experience.

We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world‑class team that thrives on creativity, resilience, and bold thinking. With a…