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1.8 Robotics AI Engineer – Calibration, Localization, and Mapping

Field-ai
Irvine, USA
Full-time
Mid · 3+ years experience
Onsite
USD 70000-300000 yearly / year
Discovered 1 months ago
C++PythonROS

Full Job Posting

  • 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

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