About Us
Daedalean AG is the artificial intelligence (AI) and autonomy hub of the 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, operating at the intersection of world-class research and real 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
As a key member of our team, you will enhance the algorithms and models for Daedalean's existing range of products, improving their accuracy and reliability. You will also develop and implement new algorithms, broadening the systems' functional range and enabling deployment in a wider array of environments.
Your Tasks Will Include the Following
- 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, and 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, including both simulated and real-world environments.
Requirements
- 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, and TensorFlow.
- A Master’s or PhD degree in Computer Vision, Computer Science, Robotics, Electrical Engineering, or a related technical field.
Benefits
- A team of experienced engineers and researchers, many of whom have joined us from the most recognized companies and institutions.
- Challenging and interesting problems to solve.
- A hybrid work setting.
- Gym membership.
Apply online using the form below. Please note that only applications matching the job profile will be considered.