About Us
Daedalean AG is the artificial intelligence (AI) and autonomy hub of Destinus Group, a rapidly growing European defense and aerospace company developing the next generation of autonomous drones, effectors, and flight systems. Based in Zurich, our team of over 100 professionals is dedicated to developing safety-critical AI for aviation at the intersection of world-class research and tangible hardware. Our expertise spans computer vision, deep learning, and onboard reasoning—systems that can perceive the world, understand it, and make decisions in real-time.
Your Role
Your primary responsibility will be to enhance the algorithms and models of Daedalean's existing product range, improving their accuracy and reliability. In addition, you will develop and implement new algorithms that expand the systems' functional range, making them applicable in a broader spectrum of environments.
Your Tasks Will Include:
- Developing and implementing computer vision algorithms and deep learning models for various applications, including localization and mapping, object detection and tracking, classification, and general image processing. You will also analyze, extend, and improve the existing codebase and models.
- Collaborating with other engineering teams (such as flight testing, hardware, and sensor fusion) to integrate computer vision solutions into prototypes and end products.
- Testing and evaluating the performance, robustness, and reliability of computer vision systems in diverse conditions, ensuring their accuracy and efficiency in both simulated and real-world environments.
Requirements
- Excellent programming skills in C++ (experience with Rust is a plus).
- Proven experience with computer vision systems, ideally incorporating both classical techniques and deep learning methods.
- Hands-on experience with tools such as OpenCV, PyTorch, and TensorFlow.
- A Master's or PhD degree in Computer Vision, Computer Science, Robotics, Electrical Engineering, or a related technical field.
Benefits
- Work alongside a team of experienced engineers and researchers who have joined us from some of the most recognized companies and institutions.
- Engage with challenging and interesting problems to solve.
- Enjoy a hybrid work setting.
- Access to a gym membership.
Apply online using the form below. Please note that only applications matching the job profile will be considered.