- Robot type
- Robot AI and Software
- Location
- IrvineCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Aug 27, 2026
Robotics AI Engineer – Calibration, Localization, and Mapping
Job description
Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence.
Job responsibilities
- Design and implement state-of-the-art calibration, localization, and mapping algorithms for our autonomous quadrupeds and humanoids
- Develop various tools and metrics to continuously validate and benchmark the performance of our various subsystems
- Write clean, efficient, and maintainable code in C++ and Python
- Collaborate with cross-functional teams to integrate and deploy your algorithms into real-world systems
Job requirements
- 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
- 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, 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
- Publications and/or patents in calibration, state estimation, odometry, and/or SLAM
- Experience working with noisy sensor measurements and designing outlier-resilient algorithms
- Experience working with computationally constrained platforms and designing efficient, real-time algorithms with low computational complexity
- Experience with other sensing modalities (e.g., radar, doppler-LiDAR, GPS, etc.)
- Experience with modern version control and project management tools
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