Senior Point Cloud Specialist

Auriga is seeking a Senior Point Cloud Specialist to lead the development, integration and optimisation of point-cloud-based perception capabilities for autonomous and intelligent systems., Reporting into the Head of Engineering, this is a senior individual-contributor role focused on LiDAR and 3D sensor perception, point cloud processing, deep neural network (DNN) approaches for 3D understanding, and real-time deployment of perception models. This role requires strong expertise in both classical point cloud processing and modern DNN-based 3D perception methods., * Define and maintain the technical roadmap for point-cloud-based perception, including classical processing and DNN-based 3D perception approaches.

• Architect and develop point cloud perception pipelines for object detection, classification, semantic segmentation, instance segmentation, tracking, freespace detection and occupancy estimation.
• Lead development and evaluation of DNN-based point cloud models such as voxel-based, pillar-based, range-view, BEV, sparse-convolution and transformer-based approaches where appropriate.
• Design and optimise real-time LiDAR and 3D perception systems to meet latency, memory, compute, accuracy and reliability requirements.
• Develop robust point cloud preprocessing and feature extraction methods, including filtering, clustering, ground removal, motion compensation, registration support and coordinate-frame handling.
• Evaluate and improve perception performance in challenging real-world conditions, including occlusion, sparse returns, reflective surfaces, adverse weather, dynamic scenes and industrial environments.
• Provide specialist support to mapping and localisation teams on point cloud registration, alignment, map quality, 3D representation and perception-map interfaces.

• 7+ years of experience in point cloud processing, LiDAR SLAM, 3D geometry, or related roles, with at least 2 years operating in a senior or lead capacity.
• Strong knowledge and experience of DNN based point cloud models for real-time applications.
• Deep, production-grade C++ skills with strong Python.
• Expert grasp of point cloud registration, segmentation, surface reconstruction, and large-scale 3D data structures.
• Strong prototyping skills: comfortable de-risking new ideas and handing them off cleanly to component-owning teams.
• Experience within autonomous vehicles, industrial automation, robotics, transportation, surveying/geomatics, or other mission-critical infrastructure domains.
• Strong publication record, open-source contributions, or recognised technical work in LiDAR / 3D processing.

• The opportunity to join a business at an early yet pivotal stage of its growth journey in a key role shaping the future of autonomous navigation.
• A collaborative and innovative Engineering culture, working alongside bright and ambitious colleagues.
• A competitive package including base salary, private medical and dental insurance, a healthcare cash plan, employer pension contribution matching and other performance-based incentives., * Private medical and dental insurance
• Healthcare cash plan” , “IsExpired”: false}