Principal Perception Architect - Detection and Fusion
Core
Design and own the architecture for modular perception machine learning, sensor fusion, object tracking, and 3D mapping to transform synchronized sensor data into reliable perception outputs for autonomous construction machines.
Role type
Principal Perception Architect (Autonomous Systems)
Builds
Intelligent perception systems for autonomous construction equipment
Domain
Construction autonomy, physical AI, robotics
Deliverable
production ML models
Required skills
Modular perception ML architecture, sensor fusion (camera, lidar, 4D radar, IMU, GNSS), object detection, object tracking, object persistence, 3D mapping, drivable area segmentation, ground plane segmentation
Preferred skills
Construction or off-road autonomy domain expertise
Technologies
Camera images, lidar point clouds, 4D radar point clouds, IMU, GNSS
Responsibilities
Define modular perception ML architecture for camera-based detection and point-cloud-based segmentation; Own sensor fusion architecture across multi-sensor data; Define object tracking and persistence architecture including lifecycle management; Own 3D mapping architecture for local-to-global alignment; Define perception output interfaces for downstream robotics and simulation systems
