Staff Engineer, Perception (R5611)

Shield AI
Hybrid
Posted 2 months ago
Hivemind Solutions Division

AI summary

This role involves the integration, testing, and deployment of autonomous systems, working across software development, hardware, and flight operations in fast-paced environments. It requires hands-on experience with troubleshooting and supporting live flight operations.

Eligible from: Unclear

Job Description

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.

Responsibilities

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.
  • Requirements

    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.
  • Ready to Apply?

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    About the job

    Posted on
    Aug 27, 2026
    Job type
    Full-time
    Location
    LondonHybrid

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