Principal, Computer Vision R&D Engineer, Visual-Inertial Sensor Fusion

Zurich, Switzerland

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Magic Leap
Magic Leap 1 is a lightweight, wearable computer with enterprise-ready solutions that are designed to increase productivity in the workforce.
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Magic Leap’s mission is to deliver enterprise a powerful tool for transformation— an augmented reality platform of great utility and simplicity. Our ultimate vision is to amplify human potential. Our office in Zurich, Switzerland is a center of excellence for Computer Vision and Deep Learning. We are looking for exceptional engineers, passionate about shaping the future of computing.

Job Description

As a Principal Computer Vision R&D Engineer, you'll be responsible for guiding the way for sensor fusion topics as part of our SLAM system and in delivering high-performance production software with state-of-the-art computer vision capabilities. Your code will be part of the foundations of our 3D platform that enables the next generation of computing applications for many years to come.

Responsibilities

  • SLAM, Visual-Inertial Pose Estimation: Design, implement, and improve advanced algorithms for estimating the 3D pose of a device by optimally fusing visual and inertial measurements collected from multiple cameras and IMUs
  • Data/Test driven R&D: Leverage data and test driven principles to develop core functionality throughout the full development cycle from the applied research phase until productization
  • Programming / prototyping: Write elegant, efficient, maintainable, and reusable code

Qualifications

  • 5+ years of relevant experience in Visual Inertial Odometry / Sensor Fusion
  • 8+ years of experience in research and development of computer vision solutions
  • 10+ years coding & debugging of C++ (and C) and Python
  • Experience with VR, AR, MR technologies is a plus
  • Knowledge software optimization and embedded programming is a plus

Education

  • MSc or PhD in Computer Science / Computer Vision / Robotics or related is preferred
Job region(s): Europe
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