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.

Responsibilities

• 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

Qualifications

• 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

Education

• 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