Magic Leap is a team of creatives and technologists developing a lightweight wearable and eco-system that changes the way we experience the world around us. 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.
You'll be responsible for designing and developing high-performance computer vision algorithms with a focus on collaborative and cloud-based applications in MagicVerse (1, 2). This work will form the platform for the next generation of computing applications and drive exciting Magic Leap products.
AR / 3D Vision / SLAM: Research and productize computer vision algorithms for collaborative and cloud based computer vision tasks.
Data / Test driven R&D: Employ data and metrics to gain insight and develop core functionality through the full development cycle from applied research to productization. Participate in architecture design, development planning and prioritization.
Programming / prototyping: Write elegant, efficient and reusable code with continuous integration processes.
7+ years of professional experience in C/C++, Python with strong CS fundamentals.
7+ years of experience in geometric computer vision, algorithms, SfM / SLAM, visual inertial odometry, 3D reconstruction, sensor fusion.
Experience working with computer vision libraries (e.g. OpenCV, Ceres, g2o, gtsam, Sophus)
Excellent problem-solving, high quality coding, performance analysis, troubleshooting and debugging skills.
Comfort with communication and collaboration across teams. The ability to multitask, manage tasks with varying priorities and align with stakeholders.
Other desirable skills:
Experience with runtime optimization, embedded and parallel programming.
Experience with low latency / high bandwidth real-time data pipelines, batch data processing pipelines.
Familiarity with deep learning technologies for geometric computer vision problems.
MSc or PhD in Computer Science / Computer Vision / Robotics or equivalent experience.
For your application, a CV and cover letter is recommended. Contact [...] / email@example.com All your information will be kept confidential according to Equal Employment Opportunities guidelines.