6 of 6 Lidar Jobs in London

working in a fast-paced startup environment Nice to Have: Experience with AI-driven content generation and procedural storytelling. Familiarity with spatial mapping, SLAM, LiDAR, or computer vision technologies. A passion for storytelling, immersive experiences, and democratizing spatial computing. What We Offer: A unique opportunity to make your mark ...

Automated design tools for heat pump systems -> A survey app for collecting property data on-site -> 2D/3D floorplan creators (maybe even with LiDAR and CV!) -> Country-wide data tools through large-scale scraping + mapping -> Hardware integrations (e.g. bluetooth laser measures, sensors) -> Offline-first/PWA apps ...

and real. Run pre-/mid-/post-training on multimodal LLM/VLM/VLA stacks; plug in new modalities (vision, audio, proprioception, LiDAR/point clouds, ...) without breaking existing ones. Build and maintain continuous pipelines: ingest simulation + tele‐op logs, version them, apply weak‐supervision labelling ...

and real. Run pre-/mid-/post-training on multimodal LLM/VLM/VLA stacks; plug in new modalities (vision, audio, proprioception, LiDAR/point clouds, ...) without breaking existing ones. Build and maintain continuous pipelines: ingest simulation + tele‐op logs, version them, apply weak‐supervision labelling ...

and deeply integrated into the autonomy stack—from raw sensor data to validated, deployed map products. What you’ll do • Own and advance scalable LiDAR- and vision-based mapping pipelines. • Build and improve 2D/3D representations: occupancy grids, vector/HD maps, semantic layers, environment models. • Lead multi-sensor … fusion (LiDAR, cameras, radar, GNSS/INS, odometry) into coherent, consistent map outputs. • Deliver large-scale capabilities like multi-session mapping, fleet workflows, map versioning, delta updates, and distributed map generation. • Maintain tight integration with SLAM/Localization to ensure stable, drift-free deployment performance. • Define KPIs and validation frameworks ...

and deeply integrated into the autonomy stack-from raw sensor data to validated, deployed map products. What you'll do * Own and advance scalable LiDAR- and vision-based mapping pipelines. * Build and improve 2D/3D representations: occupancy grids, vector/HD maps, semantic layers, environment models. * Lead multi-sensor … fusion (LiDAR, cameras, radar, GNSS/INS, odometry) into coherent, consistent map outputs. * Deliver large-scale capabilities like multi-session mapping, fleet workflows, map versioning, delta updates, and distributed map generation. * Maintain tight integration with SLAM/Localization to ensure stable, drift-free deployment performance. * Define KPIs and validation frameworks ...