Computer Vision Engineer / Computer Vision Engineeress

About the Role

Imagine pushing the boundaries of what machines can perceive and decide, refining the intelligence behind autonomous flight systems operating in the real world. You will work directly to enhance the accuracy, reliability, and adaptability of cutting-edge AI products while unlocking entirely new capabilities. Your role will involve evolving existing algorithms and models, as well as designing new ones that enable our systems to perform in increasingly complex and demanding environments.

At Destinus, we are shaping the future of defense through high-speed, autonomous flight technologies. We develop 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 pivotal role in this vision by developing safety-critical AI systems at the intersection of advanced research and real-world aviation. Together, we merge aerospace engineering with 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 tasks such as localization and mapping, object detection and tracking, classification, general image processing, and related functions, while analyzing, extending, and improving the existing codebase and models.
• Collaborate with other engineering teams (e.g., 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 their accuracy, reliability, and efficiency, involving 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 such as 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 a curiosity to make systems smarter and more reliable. You experiment, iterate, and solve problems without waiting for direction, balancing deep technical thinking with real-world impact. Ownership comes naturally to you, collaboration feels seamless, and you consistently strive for excellence.

Apply online using the form below. Only applications matching the job profile will be considered.