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AUSTIN, TX Employment Type: Direct Hire, Full‑Time Job Title: Senior Computer Vision Engineer Company Overview 9 Mothers Defense develops AI-enabled systems to counter unmanned aerial threats. Our first product, EDDA, is an autonomous counter-sUAS point-defense platform designed to detect, track, and neutralize Group 1 drone threats. The company is headquartered in Austin, Texas. Position Summary We are seeking a Senior Computer Vision Engineer to serve as the “eyes” of our autonomous c-sUAS platforms. You will design, implement, and optimize the entire perception pipeline, specializing in low-latency, high-frame-rate processing to track small, fast objects with zero margin for error. You should be comfortable building models and systems from the ground up, moving beyond simply utilizing existing frameworks. Essential Duties - Architect and Implement: Develop the entire embedded CV pipeline using high-performance Python and C++. - Target Tracking & Sensor Fusion: Design and deploy robust multi-object tracking and sensor fusion algorithms to ensure high-fidelity state estimation of fast-moving targets. - Object Detection: Utilize real-time models (e.g., YOLO) and CNNs optimized for speed. - Embedded Optimization: Optimize code for low-latency performance on resource-constrained NVIDIA Jetson environments using libraries like TensorRT and TFLite. - Geometric Vision: Apply principles of calibration, rectification, and 3D geometry to translate 2D footage into accurate 3D coordinates for fire control. - Cross-Functional Collaboration: Work with robotics teams to ensure perception data is reliable for autonomous decision-making. 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Our first product, EDDA, is an autonomous counter-sUAS point-defense platform designed to detect, track, and neutralize Group 1 drone threats. The company is headquartered in Austin, Texas. Position Summary We are seeking a Senior Computer Vision Engineer to serve as the “eyes” of our autonomous c-sUAS platforms. You will design, implement, and optimize the entire perception pipeline, specializing in low-latency, high-frame-rate processing to track small, fast objects with zero margin for error. You should be comfortable building models and systems from the ground up, moving beyond simply utilizing existing frameworks. 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Essential Duties - Architect and Implement: Develop the entire embedded CV pipeline using high-performance Python and C++. - Target Tracking & Sensor Fusion: Design and deploy robust multi-object tracking and sensor fusion algorithms to ensure high-fidelity state estimation of fast-moving targets. - Object Detection: Utilize real-time models (e.g., YOLO) and CNNs optimized for speed. - Embedded Optimization: Optimize code for low-latency performance on resource-constrained NVIDIA Jetson environments using libraries like TensorRT and TFLite. - Geometric Vision: Apply principles of calibration, rectification, and 3D geometry to translate 2D footage into accurate 3D coordinates for fire control. - Cross-Functional Collaboration: Work with robotics teams to ensure perception data is reliable for autonomous decision-making. 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