Robotics Software Engineer, Mapping

Field

AI’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.

We’re looking for a Robotics Software Engineer, Mapping to design and deploy advanced robot perception and 3D mapping systems ed 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.

Field

AI’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 laser scanners, validating mapping performance in realistic environments, and continuously improving reliability through rigorous engineering.

• Develop and refine point cloud processing pipelines, including scan alignment, noise reduction, segmentation, and object detection
• Design and implement scalable systems for storing, processing, and managing large‑scale 3D point cloud datasets
• Implement and optimize mapping and perception algorithms in C++ and Python
• Maintain a clean, well‑documented, and production‑quality codebase
• Integrate and evaluate emerging tools and technologies to improve point cloud workflows
• Ensure compliance with industry standards for 3D documentation, accuracy, and data quality
• Collaborate cross‑functionally to meet project‑specific documentation requirements and customer deliverables
• Validate algorithms through testing on real robots and in real‑world environments

• 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 maintainable and efficient code.
• Solid background knowledge of 3D geometry, computer vision, and robot kinematics (e.g., transformation matrices).
• Solid understanding of point cloud data structure and related algorithms (e.g., ICP, NDT).
• Hands‑on experience with tools and libraries such as PCL, Open3D, and Cloud Compare.
• Familiarity with Robot Operating System (ROS) and software development practices in Ubuntu.
• Familiarity with LiDAR systems and 3D data formats (e.g., PCD, PLY, E57, LAS).
• Strong problem‑solving skills, attention to detail, and able to work independently while managing multiple priorities.
• Strong work ethic, highly self‑motivated, and excellent written and verbal communication skills.

• Research experience with publications in top‑tier robotics, computer vision, or machine vision venues
• Experience with optimization and backend libraries such as Ceres, GTSAM, or g2o
• Familiarity with geospatial data, georeferencing, and coordinate systems
• Experience with survey control, calibration workflows, or on‑site measurement tools (e.g., total stations)

Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job‑related knowledge, skills, experience, and the Irvine, California market.

In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the…