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Field AI

Builds AI that guides robots through changing sites

Robotics AI Engineer - Calibration, Localization, And Mapping

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timeBoston, MA, USANo salary listed

About the Job

Requirements

  • A Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field, with expertise in calibration, localization, and/or 3D mapping.
  • A strong mathematical foundation in linear algebra, probability theory, numerical optimization, 3D geometry, Lie theory, and 3D kinematics.
  • A strong theoretical understanding and practical experience with 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, including 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.
  • A strong understanding of how ROS works and experience designing, building, and deploying nodes into a complex robotic system.
  • The ability to work independently while managing multiple priorities.

Responsibilities

  • Design and implement state-of-the-art calibration, localization, and mapping algorithms for autonomous quadrupeds and humanoids.
  • Develop tools and metrics to continuously validate and benchmark subsystem performance.
  • Write clean, efficient, and maintainable code in C++ and Python.
  • Collaborate with cross-functional teams to integrate and deploy algorithms into real-world systems.

Desired Qualifications

  • 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, such as radar, Doppler LiDAR, and GPS.
  • Experience with modern version control and project management tools.

About the Company

Field AI

Builds AI that guides robots through changing sites

Field AI builds autonomy software that lets mobile robots inspect and work in changing environments, including construction sites and industrial facilities. Its Field Foundation Models act as a shared control system for different machines, bringing perception, navigation and task planning together on the robot. Cameras and other sensors feed the system, while the platform sends site data into customers' project tools to track progress, record conditions and identify deviations from plans. The company sells commercial autonomy solutions and deployment services, integrating its software with robot manufacturers' equipment. Field AI was founded in 2023 and is headquartered in Irvine, California.

Company size
201-500
Company stage
Late Stage VC
Total funding
$1.1B
Headquarters
Irvine, CA
Founded
2023

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