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Transforming industrial operations through physically embodied robotic AI and superhuman autonomy.
The Role
Develop and optimize large-scale point-cloud processing pipelines (registration, denoising, segmentation, primitive extraction); design efficient 3D algorithms focused on memory and runtime; implement production-grade computational geometry and linear algebra in C++ and Python; solve reconstruction challenges (loop closure, global consistency, multi-view fusion); evaluate and integrate emerging 3D vision methods and work with platform teams for scalable deployment.
Summary Generated by Built In
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.
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:
- 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
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.
Why Join Field AI?
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 decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
We are headquartered in always-sunny Mission Viejo (Irvine adjacent), Southern California and have US based and global teammates.
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
Top Skills
C++
Ceres
Docker
E57
Eigen
G2O
Gicp
Gtsam
Icp
K-D Tree
Las
Lidar
Meshing
Ndt
Neural Implicit Representations
Octree
Open3D
Pcd
Pcl
Photogrammetry
Ply
Python
Ransac
Region Growing
Rgb-D
Ros
Voxel Grid
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The Company
What We Do
FieldAI is pioneering the development of a field-proven, hardware agnostic brain technology that enables many different types of robots to operate autonomously in hazardous, offroad, and potentially harsh industrial settings – all without GPS, maps, or any pre-programmed routes.
