Chief AI Engineer - Multi-Sensor Fusion & Autonomous Systems
EDTECH4D - JOBSKILLSHARE
Empowering Tech Careers Through Skill Development, Edtech, IT Trainings Services
شرح موقعیت
Role Overview Lead the development and deployment of advanced AI solutions for defense applications, focusing on multi-sensor fusion, autonomous perception, GPS-denied navigation, swarm intelligence, and edge AI systems. Drive programs from research and prototyping to operational deployment. Key Responsibilities Develop AI-powered intelligence fusion and anomaly detection systems. Design thermal/IR target detection, tracking, and classification solutions for autonomous platforms. Build Visual Odometry and SLAM-based navigation systems for GPS-denied environments. Lead swarm AI and multi-agent coordination initiatives. Architect sensor fusion solutions integrating EO/IR, LiDAR, radar, IMU, GNSS, and acoustic sensors. Manage AI researchers, software engineers, and systems integration teams. Required Expertise AI/ML, Computer Vision, Sensor Fusion, and Autonomous Systems. Multi-Object Tracking, Thermal/IR Analytics, and Edge AI Deployment. SLAM frameworks (ORB-SLAM3, LIO-SAM, OpenVINS). Swarm Intelligence and Multi-Agent Reinforcement Learning. Python, C++, ROS2, PyTorch, TensorFlow, TensorRT, and NVIDIA Jetson. Qualifications & Experience Ph.D. or M.Sc. in AI, Robotics, Computer Science, Electrical Engineering, or related field. Minimum 15+ years of relevant experience. Experience delivering AI-enabled systems in contested or GPS-denied environments is highly desirable.