Senior Point Cloud Specialist

Kybera is building infrastructure for safe, reliable autonomous systems in complex industrial environments. The Senior Point Cloud Specialist will lead the development, integration, and optimization of LiDAR- and point-cloud-based perception systems, combining classical processing with deep learning for real-time autonomous applications.

Responsibilities:

• Define and evolve the technical roadmap for point-cloud-based perception, spanning classical processing and DNN-based 3D perception approaches
• Architect and develop perception pipelines covering object detection and classification, semantic and instance segmentation, tracking, freespace detection and occupancy estimation
• Develop and evaluate modern DNN-based point cloud models, including voxel, pillar, range-view, BEV, sparse-convolution and transformer-based approaches
• Design and optimise real-time LiDAR and 3D perception systems against latency, compute, memory, accuracy and reliability requirements
• Develop robust preprocessing and feature-extraction techniques, including filtering, clustering, ground removal, motion compensation and coordinate-frame handling
• Improve perception performance in difficult real-world conditions including occlusion, sparse returns, reflective surfaces, adverse weather and dynamic industrial environments
• Work closely with our mapping and localisation teams on point cloud registration, alignment, map quality, 3D representation and perception-map interfaces
• Prototype and de-risk new technical approaches, turning promising ideas into robust solutions that can be handed over cleanly to component-owning teams