Description
The role develops perception systems for a custom-built Ghost robot that automates pick-and-place operations in Japanese convenience stores. Responsibilities include building deep-learning, computer-vision, and control software; analyzing sensor data; improving perception algorithms; optimizing and compressing models for constrained hardware; and managing timelines and robust system development. The position requires at least three years of perception-system or equivalent experience, strong computer-vision and deep-learning expertise, Python proficiency, and experience with RGB and depth sensors.
