Drimva

Field AI

Mapping Solution Engineer

$120K–$170K

Irvine, CA · On-site · Full-time · Posted Jul 31, 2026

Experience
2+ years; areas include robotics software development, 3D mapping, systems integration, or field deployment of complex technical systems.
Education
Master’s degree or higher in Robotics, Computer Science, Electrical/Mechanical Engineering, Geomatics, or a related technical field (or equivalent practical experience).

About the job

Deploys, integrates, and improves 3D mapping systems for robots and customers in real-world environments.

What you'll do

  • Develop, test, deploy, and optimize production-grade 3D mapping software and data-processing pipelines.
  • Own mapping solution delivery, from data capture and quality validation through customer handoff, demonstrations, and deployment support.
  • Analyze field performance and customer feedback to troubleshoot issues and improve reliability and deployment processes.

What they ask for

  • Master’s degree or higher in a related technical field, or equivalent practical experience.
  • 2+ years of experience in robotics software development, 3D mapping, systems integration, or field deployment of complex technical systems.
  • Strong C++ and Python programming skills and experience writing production-quality software.
  • Experience with 3D geometry, point-cloud processing, LiDAR, and 3D data formats; familiarity with ROS, Git, and Linux/Ubuntu.

Nice to have

  • Experience with geospatial data, georeferencing, coordinate systems, survey control, or calibration workflows.
  • Experience deploying mission-critical robotics or autonomous systems in real-world environments.

Pay

USD 120,000–170,000 (per-year-salary) (base salary)

Tools

C++, Python, ICP, NDT, PCL, Open3D, LiDAR, ROS

AI focus

Supports deployment and improvement of field-ready autonomy through 3D mapping; the posting also describes the company’s Field Foundational Models™ for perception, planning, localization, and manipulation.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)