Robotics AI Engineer – Calibration, Localization, and Mapping

Robotics AI Engineer – Calibration, Localization, and Mapping

Location:

Mission Viejo, CA

Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact.

Learn more at

Field AI is seeking passionate scientists and engineers to play a vital role in the development of advanced geometric robot perception algorithms. 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. You will work 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. The ideal candidate will not only have a deep theoretical understanding of modern calibration, localization, and mapping algorithms, but also the practical skills to deliver high-quality and maintainable code on a small, focused team in a fast-paced environment.

• 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

• 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

Field AI believes in-person collaboration is essential for tackling complex challenges. This is a fully onsite role based in our Irvine, CA office, with flexible hours to support work-life balance.

We are committed to fostering a diverse and inclusive workplace and encourage candidates from all backgrounds to apply.

Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary…