Staff Engineer, Perception (R5611)

Shield AI’s mission is to protect service members and civilians with intelligent systems. We are seeking a Senior or Staff Robotics Perception Engineer to develop and deploy advanced perception and navigation capabilities for autonomous aircraft operating in complex and GNSS-denied environments.

This role requires deep expertise in visual-inertial odometry (VIO), visual SLAM, vision-based navigation, state estimation, and camera–IMU sensor fusion. You will take algorithms from early-stage prototypes through embedded implementation, field testing, and flight validation on operational autonomous platforms.

This is not a general AI/ML or object-detection role. We are looking for an engineer whose core expertise lies at the intersection of robotics perception, VIO/SLAM, state estimation, camera and inertial sensing, and real-time embedded deployment.

What you'll do:

• Design, develop, and deploy VIO, visual SLAM, visual localization, and vision-based navigation capabilities for autonomous aircraft.
• Develop robust state-estimation and sensor-fusion solutions using cameras, IMUs, and other onboard sensors.
• Build geometric computer-vision components, including feature tracking, optical flow, pose estimation, triangulation, and visual localization.
• Develop geo-localization and map-matching capabilities using satellite, aerial, or orthophoto imagery.
• Integrate perception and navigation algorithms with flight-control and autonomy systems.
• Implement and optimize algorithms in C++ for real-time operation on embedded Linux platforms.
• Develop and maintain real-time camera and video-processing pipelines using technologies such as GStreamer and V4L2.
• Optimize workloads for NVIDIA Jetson, Orin, or comparable embedded-compute platforms, including CUDA and TensorRT where appropriate.

Required qualifications:

• Significant hands-on experience developing robotics perception or navigation systems.
• Strong expertise in VIO, visual SLAM, vision-based navigation, or GNSS-denied localization.
• Deep understanding of camera–IMU sensor fusion, state estimation, calibration, and time synchronization.
• Strong knowledge of geometric computer vision, including feature tracking, optical flow, pose estimation, triangulation, and visual localization.
• Experience deploying perception or navigation capabilities on UAS/UAVs or other autonomous robotic platforms.
• Strong C++ development skills and experience working in Linux environments.

Preferred qualifications:

• Experience with NVIDIA Jetson, Orin, or similar embedded-compute platforms.
• Experience optimizing perception workloads using CUDA, TensorRT, or comparable acceleration technologies.
• Hands-on experience with GStreamer, V4L2, camera pipelines, and real-time video processing.
• Experience deploying containerized software to embedded platforms using Docker.
• Experience with vision-based navigation, geo-localization, or map matching using satellite, aerial, or orthophoto imagery.
• Familiarity with frameworks and libraries such as OpenVINS, VINS-Fusion, ORB-SLAM3, GTSAM, Ceres Solver, OpenCV, or Kalibr.