Staff Engineer, Perception (R5611)

Location: London; hybrid workplace

Company

hirify.global develops intelligent systems to protect service members and civilians.

What you will do

• Design, develop, and deploy VIO, visual SLAM, visual localization, and vision-based navigation for autonomous aircraft operating in complex and GNSS-denied environments.
• Develop 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, taking algorithms from prototypes through embedded implementation, field testing, and flight validation.
• Implement and optimize real-time C++ algorithms, camera and video-processing pipelines, and embedded workloads on Linux, NVIDIA Jetson, Orin, or comparable platforms, using GStreamer, V4L2, CUDA, and TensorRT where appropriate.

Requirements

• 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.

Nice to have

• 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 OpenVINS, VINS-Fusion, ORB-SLAM3, GTSAM, Ceres Solver, OpenCV, or Kalibr.

Culture & Benefits

• Hybrid work in London through an international office entity.
• Work focused on intelligent systems for protecting service members and civilians.