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Magic Leap // augmented reality tech
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Job Description

Sensor & display calibration is a critical component of augmented reality systems. In this job, you will be designing, implementing & analyzing results of calibration algorithms.The candidate must have some experience in computer vision with exposure in at least one of the following areas:

  • Sensor calibration: Design & implement algorithms for online & offline calibration of complex devices composed of several sensors, cameras, IMUs, depth sensors & imagers. Collaborate with other engineers on the design & deployment of a calibration process targeted for factory production.
  • Visual-Inertial pose tracking: Design & implement advanced algorithms for estimating the 3D pose of a head-mounted device by optimally fusing visual & inertial measurements collected from multiple cameras & IMUs.
  • SLAM or photogrammetry: Design & implement advanced algorithms for reconstructing 3D models of large scale environments using visual information or depth data.


  • Develop state-of-the-art calibration methods
  • Write new code, use pre-existing code
  • Simulate algorithms
  • Analyze experimental results
  • Give recommendations on best-known practices
  • Make technical choices based on quantitative metrics
  • Support calibration needs across all Magic Leap departments
  • Enjoy the flawless support of your colleagues & provide the same


  • Strong knowledge of C/C++
  • Fluent in a prototyping language such as Matlab/Octave (programming & debugging) or Python/Numpy
  • Experience in numerical analysis, computational geometry
  • Experience in 3D vision, robotics, control, or state estimation preferred
  • Experience working with OpenCV is a plus
  • Experience in bundle adjustment and/or joint optimization is a plus
  • Experience with git & versioning is a plus


  • MS in EE, CS or physics
  • Ph.D in EE, CS or physics preferred
  • Outstanding candidates with BS in EE, CS or physics will be considered

Additional Information

  • All your information will be kept confidential according to Equal Employment Opportunities guidelines
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