Field Robotics 3D Mapping Engineer

Field AI

Irvine (CA)

Hybrid

USD 110,000 - 160,000

Full time

14 days+

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Job summary

Field AI is seeking a Mapping Solution Engineer to own the deployment, integration, and field performance of our 3D mapping solutions. You will work hands-on with robots, sensors, and large-scale data pipelines in real-world environments.

Ideal candidates bring 2+ years in robotics software, strong C++/Python coding, and experience with ROS, Git, and Linux. Travel to customer sites is required as needed, with opportunities for hybrid or remote work where feasible.

Qualifications

  • Master’s degree or higher in Robotics, Computer Science, Electrical/Mechanical Engineering, Geomatics or related field.
  • 2+ years of robotics software development, 3D mapping, systems integration, or field deployment experience.
  • Strong programming in C++ and Python with production-quality code.
  • Experience with 3D geometry, point cloud processing, ICP, and NDT.

Responsibilities

  • Develop and deploy production-grade 3D mapping software and data pipelines.
  • Lead end-to-end delivery of mapping data products and customer handoff.
  • Collaborate with robotics, software, operations, and customers to drive improvements.
  • Translate deployment challenges into technical enhancements and scalable processes.

Skills

C++
Python
Robotics software
3D mapping
Systems integration
Field deployment
Communication
Travel readiness

Education

Master’s degree or higher in Robotics, Computer Science, Electrical/Mechanical Engineering, Geomatics

Tools

ROS
Git
Linux/Ubuntu
PCL/Open3D

Job description

Field AI is seeking a Mapping Solution Engineer to own the deployment, integration, and field performance of our 3D mapping solutions. You will work hands-on with robots, sensors, and large-scale data pipelines in real-world environments.

Ideal candidates bring 2+ years in robotics software, strong C++/Python coding, and experience with ROS, Git, and Linux. Travel to customer sites is required as needed, with opportunities for hybrid or remote work where feasible.

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