Computer Vision & SLAM Jobs in XR

Computer vision in XR encompasses the algorithms and systems that enable devices to understand and interact with the physical world. This includes Simultaneous Localization and Mapping (SLAM) for tracking headset position, hand and body tracking, object recognition, scene understanding, depth estimation, and spatial mapping. These perception systems are the foundation of modern AR/VR—they determine tracking quality, enable passthrough mixed reality, power hand interactions, and allow digital content to interact realistically with physical environments. Computer vision engineers in XR work at the intersection of classical geometry, deep learning, and real-time systems.

Computer vision skills are critical in XR because: **Core Technology**: Every AR/VR headset relies on computer vision for tracking, making it fundamental to the industry. **Rapid Innovation**: New capabilities like hand tracking, eye tracking, and scene understanding are active research areas with immediate product impact. **High Demand, Low Supply**: Computer vision expertise is scarce, and XR companies compete aggressively for talent. **Cross-Disciplinary Impact**: CV improvements benefit every XR application—games, enterprise, social, and productivity. **AI Integration**: Modern XR perception increasingly combines classical methods with deep learning, requiring hybrid expertise.