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Visual Simulation Engineer

DaedaleanZurich Switzerland | SwitzerlandJan 3
RustDockerKubernetes

Job Description

Visual Simulation Engineer

Zürich
HQ (Switzerland) – Flight Software, Computer Vision and AI (HQ) /
Full-Time /
Hybrid
About us:
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.

Your role:
To improve machine learning models with high quality simulation data and outperform the existing models.

You get things done and have experience in:

    • Software engineering skills, Rust or C++.
    • Blender and other 3D computer graphics toolkits.
    • Knowledge of computer graphics and rendering.
    • Familiarity with Machine Learning / Transfer Learning / Computer Vision.
    • Container orchestration systems (e.g. Kubernetes, Docker, CI/CD).

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.
    • Learning & Development budget: visit conferences of your choice.
    • Gym membership.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
    • Software engineering skills, Rust or C++.
    • Blender and other 3D computer graphics toolkits.
    • Knowledge of computer graphics and rendering.
    • Familiarity with Machine Learning / Transfer Learning / Computer Vision.
    • Container orchestration systems (e.g. Kubernetes, Docker, CI/CD).
    • 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.
    • Learning & Development budget: visit conferences of your choice.
    • Gym membership.
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