Field AI
Robotics AI Engineer – Calibration, Localization, and Mapping
About this role
Field AI seeks a Robotics AI Engineer to develop geometric perception algorithms for calibration, localization, and mapping systems in globally-deployed autonomous robots. You'll work on production-quality code handling multiple sensor modalities while advancing real-world robotics solutions across construction, mining, and manufacturing sectors.
What you'll do
- Develop and optimize calibration, localization, and mapping algorithms for robotic systems
- Work with multiple sensor modalities to streamline calibration pipelines
- Build environment-agnostic localization and mapping solutions for autonomous modules
- Deliver production-quality, maintainable code in a fast-paced team environment
- Contribute to perception systems for globally-deployed field robots
- Collaborate with downstream autonomy teams on integration and performance
What they're looking for
- Geometric perception and computer vision algorithms
- Calibration, localization, and mapping (CLAM) techniques
- Multi-sensor fusion and handling diverse sensor modalities
- C++ or Python for robotics software development
- Real-world robotics systems and field deployment experience
- Mathematical foundations in geometry, pose estimation, or SLAM
- Production code quality and software engineering practices
- Fast-paced problem-solving in agile environments
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Field AI
Field AI develops embodied AI and autonomous robotics systems for real-world deployment in industrial environments like oil & gas and mining. The company is hiring software engineers to build web-based systems, perception and validation pipelines, test infrastructure, ROS-based robotic software, and customer-facing products that integrate AI with field-deployed hardware.
View all jobs at Field AILikely interview questions
- Walk us through your experience with camera or sensor calibration. What calibration frameworks or toolkits have you used, and how did you validate calibration quality?
- Describe a localization or mapping project you've worked on. What algorithm(s) did you implement, and how did you handle challenges like loop closure or drift?