Research Scientist Intern, Low-Power Scene Reconstruction for AR/VR

Future AR and VR devices occupy ever-smaller, glasses-like form factors and thus require ever-tighter power budgets. At the same time, we require higher-quality passthrough rendering and scene understanding. In particular, depth estimation, which reconstructs scene geometry in real time from sensor signals, is one of the biggest power consumers in AR and VR devices. However, most existing work targets datacenter GPUs, or at best mobile silicon with an order of magnitude more power headroom than what glasses form factors allow.