Computer Vision Engineer

Destinus SA; Zürich; On-site; CHF 80,000 - 120,000; Full time

Job summary

Destinus SA, located in Zurich, Switzerland, is seeking a skilled developer to work on cutting-edge AI products for autonomous flight systems. The role involves developing computer vision algorithms and deep learning models for various applications, collaborating with engineering teams, and testing systems in diverse environments. Applicants should have excellent programming skills in C++ and experience in computer vision and deep learning. A master's or PhD in a relevant field is required, along with a passion for innovation and excellence.

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.

Responsibilities

• Develop and implement computer vision algorithms and deep learning models.
• Collaborate with other engineering teams to integrate computer vision solutions.
• Test and evaluate performance of computer vision systems in diverse conditions.

Skills

Programming skills in C++

Experience with Rust

Computer vision systems

Deep learning methods

OpenCV

PyTorch

TensorFlow

Education

Master’s or PhD degree in related field

Job description

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.

What You’ll Need

• 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.

Who You Are

You thrive in complex, high‑stakes environments where precision matters, driven by curiosity to make systems smarter and more reliable. You experiment, iterate, and solve without waiting for direction, balancing deep technical thinking with real‑world impact. Ownership comes naturally, collaboration is seamless, and there is a constant drive to push for excellence.