Robotics CLAM Engineer: Calibration, Localization & Mapping

Field Ai; Boston (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

Field AI is seeking passionate scientists and engineers to contribute to the calibration, localization, and mapping subsystems for autonomous robots. You will work on state-of-the-art geometric perception algorithms within a fast-paced CLAM team, delivering production-quality code and collaborating across disciplines.

This onsite role is based in our Boston, MA office. The ideal candidate combines deep theory with practical software delivery, ready to tackle challenging environments and

Qualifications

• Master’s or Ph.D. in CS/EE with focus on calibration, localization, or 3D mapping.
• Strong background in linear algebra, probability, numerical optimization, and 3D geometry.
• Experience with LiDAR-inertial odometry and SLAM.
• Proficient in C++ and Python; ROS experience.

Responsibilities

• Design and implement state-of-the-art calibration, localization, and mapping algorithms for autonomous robots.
• Develop tools and metrics to validate and benchmark subsystem performance.
• Write clean, efficient, and maintainable code in C++ and Python; align with production goals.
• Collaborate with cross-functional teams to deploy algorithms into real-world systems.

Skills

C++

Python

ROS

SLAM

Calibration

Localization

Mapping

Sensor fusion

LiDAR

Mathematics

Education

Master’s or Ph.D. in CS/EE

Ph.D. in Robotics

Tools

Git

CMake

Linux

PCL

OpenCV

Job description

Field AI is seeking passionate scientists and engineers to contribute to the calibration, localization, and mapping subsystems for autonomous robots. You will work on state-of-the-art geometric perception algorithms within a fast-paced CLAM team, delivering production-quality code and collaborating across disciplines.

This onsite role is based in our Boston, MA office. The ideal candidate combines deep theory with practical software delivery, ready to tackle challenging environments and