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Requirements:
Responsibilities Technical Leadership: Lead the research, design, and implementation of state-of-the-art Computer Vision and Deep Learning algorithms tailored for EO/IR sensors. End-to-End Ownership: Oversee the full algorithmic lifecycle-from theoretical feasibility and simulation to optimized implementation on Embedded edge devices. Strategic Roadmap: Collaborate with the Head of Analytics and EVP R&D to align AI initiatives with the companys technological roadmap and market needs. Mentorship & Excellence: Cultivate a culture of algorithmic rigor, ensuring high standards of coding, documentation, and academic-level research within the team. Cross-Functional Collaboration: Work closely with Hardware, Software, and Systems Engineering teams to integrate AI capabilities into complex multidisciplinary products.
Requirements Proven Leadership: At least 3 years of experience leading technical teams in defense-tech or multidisciplinary R&D environments. Domain Expertise: Minimum 5 years of hands-on experience in Computer Vision and Deep Learning (Detection, Tracking, Segmentation, etc.). Algorithmic Foundation: Deep understanding of Classical Image Processing and computer vision algorithms - a significant advantage. Embedded AI: Proven experience in implementing and optimizing algorithms for Edge Devices (NVIDIA Jetson, DSPs, FPGAs, or similar). Education: M.Sc. in Electrical Engineering, Computer Science, or Mathematics from a leading university. PhD - a significant advantage. Strategic Vision: Ability to translate complex operational needs into robust algorithmic solutions.