About Us
Daedalean AG is the artificial intelligence (AI) and autonomy hub of Destinus Group, a rapidly growing European defense and aerospace company. We are at the forefront of developing the next generation of autonomous drones, effectors, and flight systems. Based in Zurich, our team of over 100 professionals focuses on creating safety-critical AI for aviation, bridging world-class research with real-world hardware applications. Our expertise encompasses computer vision, deep learning, and onboard reasoning, enabling systems to perceive, understand, 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. You will also develop and implement new algorithms, expanding the systems' functionality and ensuring usability across a broader spectrum of environments.
Your Tasks Will Include:
- Developing and implementing computer vision algorithms and deep learning models for localization and mapping, object detection and tracking, classification, general image processing, and related functions, while analyzing and refining the existing code base and models.
- Collaborating with other engineering teams (such as flight testing, hardware, and sensor fusion) to integrate computer vision solutions into prototypes and products.
- Testing and evaluating the performance, robustness, and reliability of computer vision systems in diverse conditions to ensure accuracy, reliability, and efficiency. This will involve 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 such as OpenCV, PyTorch, and TensorFlow.
- 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 who have joined us from the most recognized companies and institutions.
- Challenging and interesting problems to solve.
- A hybrid work setting.
- Gym membership.
Application Process
Apply online using the form below. Please note that only applications matching the job profile will be considered.