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: 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.