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Computer Vision Engineer 100%

Daedalean AG Zürich 01.09.2026 Déposer ma candidature
Company
Daedalean AG
Location
Zürich
Date
01.09.2026
Reference
346248

Role Overview

Imagine pushing the boundaries of what machines can perceive and decide, refining the intelligence behind autonomous flight systems that operate in the real world. You will work directly to improve the accuracy, reliability, and adaptability of cutting-edge AI products, while also opening the door to entirely new capabilities and applications. Your contributions will evolve existing algorithms and models, as well as design new solutions that allow systems to perform in increasingly complex and demanding environments.

Company Vision

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 key role in this vision by developing safety-critical AI systems at the intersection of advanced research and real-world aviation, enabling machines to perceive, understand, and make decisions in real time.

Your Responsibilities

  • Develop and implement computer vision algorithms and deep learning models for localization and mapping, object detection, 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. 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.
  • A Master’s or PhD degree in Computer Vision, Computer Science, Robotics, Electrical Engineering, or a related technical field.

Your Profile

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 challenges without waiting for direction, balancing deep technical thinking with real-world impact. Ownership comes naturally to you, collaboration is seamless, and there is a constant drive to push for excellence.

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