Computer Vision Engineer 100%

About the Role

Imagine pushing the boundaries of what machines can perceive and decide, refining the intelligence behind autonomous flight systems that operate in the real world. This position offers the opportunity to directly improve the accuracy, reliability, and adaptability of cutting-edge AI products, while also paving the way for entirely new capabilities and applications. The focus will be on evolving existing algorithms and models, as well as designing new ones that enable systems to operate in increasingly complex and demanding environments.

At Destinus, the mission revolves around shaping the future of defense through high-speed, autonomous flight technologies. The organization develops next-generation unmanned aerial systems that deliver greater speed, precision, and efficiency, supporting governments and defense organizations in mission-critical operations worldwide. Daedalean AG, the AI and autonomy hub of the Destinus Group, plays a crucial role in this vision. By developing safety-critical AI systems at the intersection of advanced research and real-world aviation, they enable machines to perceive, understand, and make decisions in real time. This collaborative effort combines aerospace engineering and artificial intelligence to build the next generation of autonomous flight systems, driving innovation where it matters most.

What You'll Do

• Develop and implement computer vision algorithms and deep learning models for localization and mapping, object detection and tracking, classification, general image processing, and related functions; analyze, extend, and improve the existing code base and models.
• Collaborate with other engineering teams (such as flight testing, hardware, sensor fusion) to integrate computer vision solutions into prototypes and products.
• Test and evaluate the performance, robustness, and reliability of computer vision systems in diverse conditions to ensure accuracy, reliability, and efficiency. This may involve both simulated and real-world environments.

What You’ll Need

• Excellent programming skills in C++; experience with Rust is a plus.
• Experience with computer vision systems, ideally including both classical techniques and deep learning methods.
• Hands-on experience with tools like OpenCV, PyTorch, TensorFlow.
• Master’s or PhD degree in Computer Vision, Computer Science, Robotics, Electrical Engineering, or a related technical field.

Who You Are

You thrive in complex, high-stakes environments where precision matters, driven by curiosity to make systems smarter and more reliable. You experiment, iterate, and solve without waiting for direction, balancing deep technical thinking with real-world impact. Ownership comes naturally, collaboration is seamless, and there is a constant drive to push for excellence.