Computer Vision Engineer
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Computer Vision Engineer at Destinus: Zürich, Швейцарія; Гібридно; Повна зайнятість. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Zürich, Швейцарія, Гібридно
- Role classification: Повна зайнятість
- Source freshness: checked by JobGrid on 2026-05-29.
- Application path: candidates continue to the employer application page with non-personal referral tags.
About the role
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'll work directly improves the accuracy, reliability, and adaptability of cutting-edge AI products, while also opening the door to entirely new capabilities and applications. You will evolve existing algorithms and models, and design new ones that allow our systems to perform in increasingly complex and demanding environments.
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. 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.Together, we combine aerospace engineering and artificial intelligence to build the next generation of autonomous flight systems, driving innovation where it matters most.
What You´ll Do
- 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 - as well as 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.