🎯 How you will make an impact:

• Lead the computer vision strategy and roadmap Define milestones aligned with company goals, establish systematic development processes, and ensure timely delivery of innovative computer vision capabilities.
• Design, implement, and optimize computer vision algorithms for visual navigation Develop real-time object detection and classification, multi-object tracking across frames and scenes, and visual SLAM for outdoor navigation.
• Integrate vision systems with robotic platforms and edge devices Collaborate with cross-functional teams to deploy robust solutions in production environments.
• Design and optimize algorithms and architectures Develop advanced computer vision algorithms for drone applications such as object detection, tracking, segmentation, and scene understanding. Evaluate and benchmark models using real-world datasets and simulations.
• Build and develop a high-performing team Lead by example, mentor engineers, and foster a culture of growth, collaboration, and technical excellence.
• Stay at the forefront of technology Continuously research and implement state-of-the-art computer vision techniques, with a focus on aerial and C-UAS applications.
• Champion code quality and documentation Promote best practices through code reviews, maintain high code quality, and ensure clear, consistent documentation.

✅ What you need to be successful:

• Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field; PhD is a plus
• Strong experience with deep learning frameworks (TensorFlow, PyTorch) and architectures such as CNNs, object detectors, and tracking algorithms
• Proficiency in object detection models (YOLO, Faster R-CNN, SSD, etc.)
• Solid understanding of visual SLAM, structure-from-motion, and navigation techniques
• Programming skills in Python and C++ (ROS experience is a plus)
• Familiarity with OpenCV, CUDA, and real-time video processing
• Proven ability to lead and build high-performing teams in fast-paced, innovative environments
• Hands-on approach with strong ownership and accountability
• Systematic problem-solving skills and excellent documentation habits
• Collaborative mindset with a team-first attitude

At Alpine Eagle, we are committed to diversity and equal opportunity. We welcome applications from all individuals regardless of ethnic origin, gender, religion, disability, age, or sexual identity.