We are a well-funded start-up based in Kadima, Israel, formed through a joint venture between IAI and Tama. We specialize in developing unmanned autonomous airplanes for agriculture.
About the Team
We create cutting-edge real-time SLAM, 3D terrain mapping, and obstacle detection systems for autonomous airplanes. Join us to design and optimize deep learning models for vision-based obstacle detection
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What you'll do
Develop and implement state-of-the-art deep learning models for obstacle detection.
Optimize neural networks for real-time deployment.
Guide the team on best practices in deep learning and innovative solutions.
Collaborate on integrating vision systems into airplane autonomy.
Oversee data acquisition, annotation, and augmentation.
Stay updated on computer vision and deep learning advancements.
Requirements
B.Sc. or M.Sc. in Computer Science, Engineering, or related fields..
3+ years of experience with deep learning frameworks..
Proficiency in Python, PyTorch and classic computer vision libs as OpenCV..
Background in computer vision (e.g., object detection, segmentation).
Advantage: Experience with real-time GPU or hardware accelerators.
Proven ability to design and execute experiments to systematically improve model performance.