Computer Vision Engineer, Senior

## **Location:** Onsite — 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. ** Requirements ** - **Programming:** Strong background in C++ (for performance) or Python. - **SLAM/Localization:** Deep expertise in VIO, VO, and SLAM frameworks for real-time state estimation. - **Libraries:** Proficiency in OpenCV and image-processing modules in PyTorch or TensorFlow. - **Deployment:** Experience with DNN inference libraries (e.g., TensorRT, TFLite, and others) for edge deployment. - **Architecture:** Hands-on experience building embedded CV systems for real-time applications involving small, fast objects. - **Geometric Vision:** Deep understanding of camera calibration and 3D geometry. - **Compliance:** US Citizenship and the ability to pass a background check ** Preferred Qualifications ** - Prior defense startup experience. - Security clearance or the ability to obtain one. - A passion for building robots or engineering projects as a hobby. ** Benefits ** - **Meaningful Early Equity** : You aren't just an employee; you are a foundational owner. Your contributions directly drive the value of your stake in the company. - **Direct Roadmap Influence** : Forget the bureaucracy of big defense. You will have a seat at the table, directly shaping our product and technology trajectory from day one. - **Mission-Critical Work** : We don't build for "what if." We build systems the Department of War actively needs to counter immediate, real-world threats. - **The Builder's Playground** : Work in a brand-new lab fully optimized for rapid prototyping, equipped with NVIDIA Jetsons, high-end scopes, and 3-D printers. - **100% Employer-Paid Premiums** : We cover 100% of your medical, dental, and vision insurance premiums and cover 50% of healthcare premiums for your dependents. - **Unlimited PTO** : We value results, not clock-watching. Take the time you need to stay sharp and recharge. - **Zero Red Tape** : You report to the founders. You have the autonomy to make technical decisions that would take months of committee approval at a larger firm. - **Austin-Based Culture** : Join an onsite team in Austin, TX, where we prioritize high-bandwidth collaboration and rapid field-testing. - **Relocation Assistance** : We want the best talent in the room. If you aren't in Austin yet, we’ll help you get here, to make your transition to the Silicon Hills seamless. ** About the Interview ** 1. Application screen phone call (30 min) 2. Virtual interview with co-founder/CTO + Director of Engineering (45 min via MS Teams) 3. Paid take-home consulting agreement ($500, ~4-8 hours) 4. Review work 5. Virtual interview with co-founder/CEO (45 min via MS Teams) 6. In-person visit to Austin 7. Offer