דרושים » תוכנה » Computer Vision Engineer - Kinetic Drone Interception

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Location: Haifa
Job Type: Full Time
we are an agile defense-tech startup tackling the most complex challenges in counter-drone and uncrewed defense. With hundreds of combat-proven systems deployed by the IDF and global partners, we are now engineering the next generation of C-UxS (Counter-Uncrewed Systems). We leverage advanced electronic warfare and kinetic measures to detect and neutralize hostile threats. If you want to push technological boundaries while safeguarding Israel and our allies, join us at this pivotal stage of our growth.
If you're looking for a role that combines deep technology, ownership, and real-world impact - this is your opportunity.
You'll work on 0→1 development of next-generation computer vision capabilities, addressing operational challenges for which no proven solutions currently exist.
Key Responsibilities:
Drive end-to-end computer vision solutions from concept and research through deployment and operational validation
Develop detection, classification, and tracking algorithms
Improve performance on small and distant aerial targets
Build and maintain training datasets and evaluation tools
Optimize models for real-time operational performance
Collaborate with software, hardware, and systems engineering teams.
Requirements:
Strong background (3+ years experience) in computer vision and deep learning
Proven ability to independently design, develop, and deliver computer vision solutions from scratch
Experience processing real-time video from EO/IR, thermal, or surveillance cameras
Hands-on experience with detection and tracking models (YOLO, Transformer, or similar)
Proficiency in Python with PyTorch or TensorFlow
Proficiency in C++
Performance Optimization: Experienced in multi-threaded programming and GPU acceleration to improve computational efficiency
Familiarity with small-object and long-range detection, image enhancement, and low-SNR conditions
Working knowledge of OpenCV, GStreamer, RTSP streams, and Linux
Advantages:
Significant advantage for experience with airborne platforms, UAVs, UAS, loitering munitions, missile systems, aerial target tracking, or other airborne defense applications
Experience in drone detection, defense systems, radar/EO sensor fusion, or autonomous systems
C++ and production deployment experience.
This position is open to all candidates.
 
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דיווח על תוכן לא הולם או מפלה
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Location: Haifa
Job Type: Full Time
In our group, we research, develop, and deploy state-of-the-art lidar perception and deep learning technologies to achieve world-class performance, enabling the safe development of Autonomous Driving features and Advanced Driver Assistance Systems. We are looking for a passionate engineer with strong expertise in deep learning, computer vision, and large-scale data-driven algorithm development.
What will your job look like:
Research, design, develop, and implement advanced lidar-based perception algorithms using state-of-the-art deep learning and computer vision techniques
Develop, train, and optimize deep neural networks for challenging 3D perception tasks such as detection, classification, tracking, segmentation, and scene understanding
Evaluate existing models and architectures, investigate emerging deep learning methodologies, and propose innovative solutions to improve accuracy, robustness, and computational efficiency
Analyze and validate algorithms on large-scale real-world datasets collected by our vehicles worldwide
Collaborate with cross-functional teams to define requirements, create data-driven solutions, and deploy production-ready models
Optimize deep learning models and classical algorithms for scalability, runtime performance, and deployment on embedded automotive platforms
Stay at the forefront of advances in deep learning, computer vision, and autonomous driving research, and drive their adoption into production systems.
Requirements:
M.Sc. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a related field
3+ years of hands-on experience developing deep learning and computer vision algorithms
Strong practical experience with deep learning frameworks such as PyTorch or TensorFlow
Experience developing, training, evaluating, and optimizing neural networks for computer vision or 3D perception applications
Strong understanding of machine learning, deep learning fundamentals, optimization, and statistical analysis
Solid programming skills in Python; experience with C++ is an advantage
Strong mathematical and problem-solving skills
Ability to quickly learn new technologies and transform research ideas into production-quality solutions
Independence, creativity, and a proactive approach
Experience with lidar, 3D perception, autonomous driving, or the automotive industry is a strong advantage.
This position is open to all candidates.
 
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