Lidar Jobs

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

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

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

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

Multi-Modal Sensing: Define the electrical architecture for a full perception stack, including LiDAR, depth cameras, IMUs, and tactile

Synchronization Execution: Implement and rigorously measure the hardware-level synchronization across cameras, LiDAR, and IMUs.

from logs when the surface symptom is misleading Enough sensor and robotics data literacy to reason about validity: what good IMU/INS, GNSS/RTK, lidar

Nice to have: Experience with LiDAR point clouds and camera-based feature extraction Experience with standard definition

portability across renderers Sensor simulation domain knowledge: how material properties (reflectance, roughness, emissivity) drive lidar

variation due to temperature or other on-road and off-road conditions Enable sensor fusion and work with a variety of sensors including Camera, Lidar

You will also integrate data from multiple modalities—Cameras, LiDAR, depth sensors, and IMUs—into unified world models that support navigation, manipulation, safety