Frontier Tech Lidar Jobs

triage field issues related to LiDAR data quality, and aid in requirement derivation to ensure the LiDAR module upholds system-level performance and safety goals

In this role you will work with our research team to apply state of the art approaches to model worlds and sensors such as Lidars, Radars and Cameras.

driving scenes, including: Dynamic actor reconstruction and scene editing Novel view synthesis and multi-sensor rendering (camera, LiDAR

cars, to heavy mining rigs, and tactical defense platforms - and context - real operations and simulations - to visualize standard and high definition map data, LiDAR

and storage, CRUD operations, and SDKs Support tooling to digitize road network geometry, semantic attributes, and related infrastructure from lidar

Experience with various sensor modalities (e.g., LiDAR, radar, cameras) and their unique challenges.

Execute validation and characterization protocols for Lidar, Radar, Camera, and Ultrasonic sensors to ensure performance accuracy across diverse

testing in autonomous robotic platforms Support tooling to digitize road network geometry, semantic attributes, and related infrastructure from lidar

Champion Product Quality & APQP/PPAP: Serve as the quality champion across the autonomous driving sensor development team (Cameras, Radars, Lidars

Experience with 3D GIS, multipatch data, 3D mesh, LiDAR, point clouds, photogrammetry, or digital elevation models.

Familiarity with autonomous vehicle perception stacks, sensor fusion (camera, LiDAR).

enclosures will hold up to vibration, shock, hard landings, thermal extremes, dust, water ingress, and EMI Lead integration of sensors (cameras, lidar

role, you will define and drive the technical roadmap for large-scale generative architectures, bridging cutting-edge multimodal pre-training (across 4D video, LiDAR

l'application de codes de simulation de rayonnement de cibles observées dans différentes longueurs d’onde en fonction de l’observateur (Caméra Infra Rouge, Radar, Lidar

The goal is to progressively reduce dependencies on HD maps and lidar. How to get there is part of the job.