4 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
Shield AI builds autonomous systems for military and national security customers, combining its Hivemind autonomy software with V-BAT and X-BAT unmanned aircraft and Aechelon simulation technologies. The privately held company sells hardware, software, and related services to U.S. and allied defense agencies. Founded in 2015 and headquartered in San Diego, it operates across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology is used in operational deployments.