Computer Vision Engineering

At Alpine Eagle, we are a team of specialists with backgrounds in defence, aerospace engineering and machine learning, building the first airborne, swarm-based system to provide protection against the rising drone threat. We believe that recent conflicts have shown the malicious and disruptive potential of drones in both civilian and defense scenarios. In addition, we are convinced that the next step in counter-drone is air-to-air. We want to ensure that all governments and institutions that believe in personal freedom and the rule of law have cutting edge solutions to protect against this rising threat.

We offer a work environment that is inclusive and open, with a flat hierarchy, and a purpose-driven team. We want to reinforce a culture where great ideas can flourish, and great people collaborate.

As the Head of Computer Vision Engineering, you will play a pivotal role in advancing Alpine Eagle’s drone technology. You will lead and inspire our computer vision and perception team, shaping the future of our UAV solutions. This is a hands-on leadership role where you will develop and optimize computer vision algorithms, drive perception architecture, and collaborate across teams to deliver next-generation drone capabilities. 

🎯 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.