עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
25,000-35,000 ₪
The Challenge Controp is a global leader in high-end EO/IR surveillance and defense solutions. As the AI team leader, you will bridge the gap between cutting-edge research and mission-critical hardware. You will lead an elite team of researchers and engineers to define the next generation of algorithmic capabilities for our stabilized payloads and autonomous systems.
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.
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.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
תל אביב - יפו
