Senior Robotics Software Engineer, 3D Mapping
AI summary of the role
Design and deploy production-grade LiDAR SLAM and 3D mapping systems for FieldAI's field robots, working hands-on with hardware in Irvine.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design and develop scalable LiDAR mapping algorithms for autonomous robot operations.
- Improve accuracy, robustness, and scalability of point cloud processing pipelines for online and offline mapping.
- Deploy large-scale mapping systems and data processing pipelines in production.
- Validate mapping systems through testing on real robots in large-scale unstructured environments.
What you’ll bring
- Master's or Ph.D. in CS/Engineering with robotics and 3D computer vision expertise.
- Proficiency in C++ and Python for production code.
- Solid knowledge of 3D geometry, computer vision, robot kinematics, and point cloud algorithms (ICP, NDT).
- Experience with LiDAR SLAM and optimization tools (Ceres, GTSAM, g2o).
Technologies
LiDAR · SLAM · C++ · Python · PCL · Open3D · Autoware · ROS · Ceres · GTSAM · g2o · Ubuntu
About Field AI
Field Foundation Models — embodiment-agnostic robot brains for quadrupeds, humanoids, wheeled and tracked robots in construction, energy, mining, and logistics.
Series D
Source and classification
Internal deployment & tooling · Evidence for this classification:
building risk-aware, reliable, and field-ready AI systems that operate outside the lab. In this role, you will develop scalable, production-grade point cloud and mapping pipelines that power customer deliverables and globally deployed robotic systems. You will own workflows spanning data capture through documentation, integrating laser scanners, validating mapping performance in realistic environments, and continuously improving reliability through rigorous engineering. What You Get To Do: Design and develop scalable LiDAR mapping algorithms to support autonomous robot operations. Improve the accuracy, robustness, and scalability of point cloud processing pipelines used in online and offline mapping systems. Deploy large-scale mapping systems and data processing pipelines in production and ensure efficient and quality customer deliverables. Validate mapping systems and algorithms
More from the job description
FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. What You'll Do FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the fiel [... source excerpt omitted ...] gineer, SLAM & 3D Mapping to design and deploy advanced robot perception and 3D mapping systems at FieldAI. Based in our Irvine office, this is a true robot-in-the-loop role where you will work hands-on with physical robots, real sensors, and real field environments. FieldAI’s Irvine team sits at the center of Southern California’s robotics ecosystem, building risk-aware, reliable, and field-ready AI systems that operate outside the lab. In this role, you will develop scalable, production-grade point cloud and mapping pipelines that power customer deliverables and globally deployed robotic systems. You will own workflows spanning data capture through documentation, integrating [... source excerpt omitted ...] y, robustness, and scalability of point cloud processing pipelines used in online and offline mapping systems. Deploy large-scale mapping systems and data processing pipelines in production and ensure efficient and quality customer deliverables. Validate mapping systems and algorithms through testing on real robots and in large-scale unstructured environments. Collaborate cross-functionally to meet project-specific documentation requirements and customer expectations. What You Have: Master’s degree or Ph.D. in Computer Science, Engineering, or a related field, with expertise in robotics and 3D computer vision. Proficiency in C++ and Python, with a proven ability to write main
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