Modular Perception Machine Learning Architect

This role focuses on transforming synchronized sensor data into reliable perception outputs, including detected objects, tracked objects, persistent object representation, drivable area segmentation, and local-to-global 3D maps. The position involves defining the modular perception ML architecture and sensor fusion architecture to improve perception robustness, spatial consistency, and environmental awareness. The role requires working cross-functionally with edge platform, robotics, and simulation teams to turn perception algorithms into usable autonomy capabilities.