Software Engineer- Spatial Perception & CV

Spatial Perception EngineerRobotics 3D Sensing Localization & MappingThe RoleThis is the spatial intelligence seat on the robotics team. You'll own everything the robot needs to understand where it is and what's around it SLAM pipelines, 3D mapping, and the geometric perception layer that feeds into navigation and interaction. You're equally comfortable digging into point cloud math and wiring up real sensor hardware on a moving platform.Day-to-Day ResponsibilitiesArchitect and maintain visual and/or lidar-based SLAM pipelines for real-time localization and map buildingProcess 3D point cloud data at scale implementing filtering, segmentation, and registration workflows that hold up on real hardwareBring depth cameras and spatial sensors online within the ROS 2 framework, managing multi-modal sensor fusion across the perception stackAssess and integrate open-source SLAM and CV tooling (RTAB-Map, ORB-SLAM, Open3D, PCL, and others), selecting the right library for each problem rather than defaulting to a single stackPartner closely with the Edge AI & Perception engineer to share infrastructure, avoid duplicated effort, and keep the overall perception architecture cleanWhat You BringCore RequirementsAt least 7 years building software for robotic systemsDeep hands-on experience with ROS 2 authoring nodes, orchestrating topic/service/action patterns, and designing clean system architecturesA systems-level perspective: you're comfortable at the boundary between hardware drivers, real-time control loops, and application-layer softwareStrong Python skills; working proficiency in C++ (able to read, modify, and extend existing codebases confidently)Prior experience deploying and debugging software on NVIDIA Jetson platforms (Orin, Xavier, or comparable)Self-directed and effective in early-stage, greenfield development environmentsSpatial Perception & SLAMApplied, hands-on background in computer vision and 3D perception built and shipped systems, not just studied the theoryDirect experience standing up SLAM in a real robotic context (visual, lidar, or visual-inertial odometry)Fluent with point cloud processing libraries such as PCL, Open3D, or equivalent toolingStrong Python and OpenCV skills; C++ proficiency sufficient to work within and extend existing perception codebasesExpected BaselineHands-on familiarity with sensor calibration workflows, coordinate frame management, and the ROS TF tree