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Object Detection and Tracking Engineer (R5244)

Shield AI· Hivemind Solutions Division – Flight System Integration
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Hybrid (London)Full Time EmployeePosted 4mo ago

About the role

Perception-focused role developing real-time object detection, sensor fusion, and state estimation algorithms for autonomous aircraft operating in complex environments, with emphasis on simulation and real-world validation.

Responsibilities

  • Develop advanced perception algorithms — Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.
  • Implement sensor fusion frameworks — Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness.
  • Develop state estimation capabilities — Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation.
  • Analyze and utilize sensor ICDs — Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization.
  • Optimize perception performance — Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments.
  • Support autonomy integration — Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules.
  • Validate in simulated and operational settings — Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness.
  • Collaborate with hardware and sensor teams — Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads.
  • Drive innovation in airborne sensing — Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.
  • Travel Requirement — Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).

Qualifications

  • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
  • Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.
  • Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models.
  • Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches.
  • Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications.
  • Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs.
  • Proficiency with version control, debugging, and test-driven development in cross-functional teams.

Skills

Required:Object detectionMulti-target trackingSensor fusionState estimation / localizationICD interpretation

Benefits

  • Our international teammates receive a comprehensive total rewards package aligned to your country office location.
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Shield AI

Autonomy for the world.

Our mission is to protect service members and civilians with intelligent systems.

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