Principle Engineer, 3D Reconstruction
Core
Define technical architecture and roadmap for Wayve's offline 3D reconstruction system to build high-quality 3D world geometry from vehicle sensor data in dynamic scenes.
Role type
Principal Engineer, 3D Reconstruction (Robotics/Perception)
Builds
Offline 3D geometric reconstructions and best-estimate ego motion from heterogeneous vehicle platforms and sensor suites
Domain
Autonomous driving, robotics, sensor fusion, state estimation
Deliverable
production ML models
Required skills
SLAM, 3D reconstruction, mapping, state estimation, lidar-based reconstruction, point-cloud registration, pose estimation, C++, Python, offline reconstruction systems, production system deployment, technical strategy definition, cross-functional technical leadership, sensor calibration, timing synchronization, quality assessment
Preferred skills
MS/PhD in Robotics/CS/State Estimation/Sensor Fusion/SLAM/3D Reconstruction, autonomous vehicles, GNSS/INS fusion, sensor-based odometry, nonlinear optimization (pose graph optimization, factor graphs, bundle adjustment, ICP), modern ML for 3D reconstruction/foundation models, ROS, PCL, OpenCV, CUDA, ML data enrichment/autolabelling, quality metrics design, leading expert technical teams
