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# Software Engineer, 3D Computer Vision

- **Company:** Level-FieldAI LLC
- **Location:** Peoria, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Eigen (C++ Library), Python (Programming Language), Linear Programming, Computational Geometry, Software Engineering, Spatial Data Infrastructures, Containerization, Linux Development, Information Technology, Production Code, C++14, Lidar, Data Pipelines, Docker
- **Published:** September 24, 2026
- **Apply:** https://www.juju.com/job/16_b4f3700e

## About the Role

* 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

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.

## Description

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. 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


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