Senior, Computer Vision R&D Engineer, SLAM/VIO
View: 170
Update day: 26-03-2024
Category: High Technology Mechanical / Technical Electrical / Electronics IT - Software
Industry: Information Technology Services Computer Software Internet
Position: Mid-Senior level
Job type: Full-time
Job content
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 Computer Vision R&D Engineer, you’ll be responsible for delivering high-performance production software with state-of-the-art computer vision capabilities in the field of SLAM and sensor fusion. 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
- 2+ years of relevant experience in at least one of the following topics or related: Visual SLAM, Visual Inertial Odometry / Sensor Fusion, 3D reconstruction
- 3+ years of experience in research and development of computer vision solutions
- 5+ years coding & debugging of C++ (and C) and Python
- Hands on experience working with deep networks for geometric computer vision problems using unsupervised and self-supervised approaches is a plus
- Experience with VR, AR, MR technologies is a plus
- Knowledge software optimization and embedded programming is a plus
- MSc or PhD in Computer Science / Computer Vision / Robotics or related is preferred
Deadline: 10-05-2024
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