Staff Engineer, Perception (R5611)

Shield AI; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Total rewards package

Job summary

Shield AI is seeking a Senior or Staff Robotics Perception Engineer to design and deploy perception and navigation for autonomous aircraft operating in GNSS-denied environments. You will advance VIO/SLAM, state estimation, and sensor fusion on embedded platforms, integrating perception with flight-control systems.

You will implement real-time computer-vision pipelines using GStreamer, V4L2, and OpenCV, optimize workloads on NVIDIA Jetson/Orin, and contribute to robust, field-ready autonomy

Qualifications

• Hands-on robotics perception or navigation development.
• Expertise in VIO, visual SLAM, or GNSS-denied localization.
• Strong camera–IMU fusion, state estimation, calibration, and time synchronization.
• Proficient C++ development on Linux and embedded deployment.

Responsibilities

• Design, develop, and deploy VIO, visual SLAM, localization, and vision-based navigation for autonomous aircraft.
• Develop robust state-estimation and sensor-fusion using cameras and IMUs.
• Build geometric vision components: feature tracking, optical flow, pose estimation, triangulation, localization.
• Develop geo-localization and map-matching using satellite/imagery.
• Integrate perception with flight-control and autonomy systems.
• Implement and optimize algorithms in C++ for real-time embedded Linux.
• Develop real-time camera and video pipelines with GStreamer/V4L2.
• Optimize workloads for NVIDIA Jetson/Orin, including CUDA/TensorRT.

Skills

Robotics perception

State estimation

C++ development

Linux

Tools

GStreamer

V4L2

CUDA

TensorRT

OpenCV

GTSAM

Ceres Solver

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube .

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.

• Our international teammates receive a comprehensive total rewards package aligned to your country office location.

For full details on compensation and benefits, please consult your talent acquisition partner.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.