Computer Vision Engineer

Description

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, the 100+ team develops safety-critical AI for aviation at the intersection of world-class research and real hardware. Its expertise spans computer vision, deep learning, and onboard reasoning – systems that can perceive the world, understand it, and make decisions in real time.

Responsibilities

• Improve the algorithms and models of Daedalean's existing range of products in order to make them more accurate and reliable.
• Develop and implement new algorithms, extending the systems' functional range and making them employable in a wider range of applications and environments.
• 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.

Qualifications

• 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.

Benefits

• A team of experienced engineers and researchers, who joined us from most recognized companies and institutions.
• Difficult and interesting problems to solve.
• Hybrid work setting.
• Gym membership.