Field AI is transforming how robots interact with the real world by building risk-aware, reliable, and field-ready AI systems. The company is seeking a Robotics AI Engineer – Calibration, Localization, and Mapping to design and implement state-of-the-art algorithms for autonomous quadrupeds and humanoids.
Requirements
- Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field
- 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
- Familiarity with state-of-the-art LiDAR-inertial odometry and SLAM algorithms
- Familiarity with state-of-the-art visual-inertial odometry and SLAM algorithms
- Experience with sensor calibration (intrinsics and extrinsics) and time synchronization
- Strong proficiency in C++ and Python and modern best practices
- Strong understanding how ROS works and experience with designing, building, and deploying your own nodes into a complex robotic system
Benefits
- Competitive salary
- Flexible hours to support work-life balance
- Hybrid or remote work option
- Committed to fostering a diverse and inclusive workplace