Hiring: Robotics AI Engineer – Calibration, Localization, and Mapping Company: FieldAI Location: Irvine, CA Job Posted Time: 2026-09-10 10:27:17 Employment Type: Remote Target Skills & Keywords : AI, C++, Linear, Python About the job Required Skills: •As a member of our Calibration, Localization, and Mapping (CLAM) team, you will work with a team of high-focused individuals in a fast-paced environment to deliver production-quality code within our calibration, localization, and mapping subsystems. •Interface directly with a variety of different sensing modalities and help streamline our calibration pipeline and/or develop environment-agnostic localization and mapping algorithms for our downstream autonomy modules. •The specific project and work that you will be doing will depend on your specific skill set and area of interest. Qualifications: •Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field, with expertise in calibration, localization, and/or 3D mapping •Strong mathematical foundation in linear algebra, probability theory, numerical optimization, 3D geometry, Lie theory, and 3D kinematics •Strong theoretical understanding and practical experience with different linear and non-linear state estimation frameworks for sensor fusion •Operational familiarity with state-of-the-art LiDAR-inertial odometry and SLAM algorithms •Operational familiarity with state-of-the-art visual-inertial odometry and SLAM algorithms •Strong proficiency in C++ and Python and modern best practices, with the ability to write maintainable and efficient code •Strong understanding how ROS works and experience with designing, building, and deploying your own nodes into a complex robotic system •Strong problem-solving skills, attention to detail, and being able to work independently while managing multiple priorities •Strong work ethic, highly self-motivated, and excellent written and verbal communication skills •The Extras That Set You Apart Compensation: •$70,000 - $300,000 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!