2 months ago
London, United KingdomSenior
Responsibilities
- Develop object detection, classification, and multi-target tracking algorithms across diverse sensor modalities.
- Build sensor fusion frameworks using radar, EO/IR cameras, IMUs, and other mission sensors.
- Develop state estimation, localization, and pose estimation capabilities for autonomous aircraft.
- Interpret sensor Interface Control Documents and aircraft hardware integration specifications.
- Optimize perception pipelines for accuracy, robustness, and real-time performance.
- Integrate perception outputs with autonomy, planning, behaviors, and decision-making systems.
- Validate perception algorithms using synthetic data, simulation environments, field testing, and operational settings.
- Collaborate with hardware and sensor teams to integrate algorithms with onboard compute platforms.
- Advance real-time airborne sensing capabilities for GPS-denied and contested environments.
Requirements
- BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a similar field, or equivalent practical experience.
- Typically 10 years of related experience with a bachelor’s degree, 9 years with a master’s degree, or 7 years with a PhD, or equivalent work experience.
- Experience implementing Kalman filters, multi-target tracking, or deep learning-based detection models.
- Experience fusing radar, EO/IR, and other sensor data using probabilistic or rule-based approaches.
- Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization in real-time applications.
- Ability to interpret Interface Control Documents and hardware integration specifications.
- Proficiency with version control, debugging, and test-driven development in cross-functional teams.
- Preferred experience with airborne sensing integration or algorithm development.
- Preferred experience with PyTorch or TensorFlow for vision-based detection or classification.
- Preferred experience deploying perception software on SWaP-constrained platforms and validating systems during flight tests or operational events.
- Understanding of sensing challenges in denied or degraded conditions and exposure to air, maritime, or ground platforms.
Benefits
- Comprehensive total rewards package aligned to the employee’s country office location.
- Typically requires 10–15% travel to office locations, customer sites, and flight integration events.
- Employees collaborate in an entrepreneurial, mission-driven environment focused on AI, autonomy, and defense systems.
Tech Stack
PyTorchTensorFlow
Categories
Robotics
About Shield AI
Founded in 2015, 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.