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.

About the role

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.

What you’ll do

• 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.

Your profile

• 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.

What we offer

• 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.

Benefits: Private medical and dental insurance, Healthcare cash plan.