Student (w/m/d) - Support in the Development of Synthetic Environments in Unreal Engine
Vor 30+ TagenDas könntest du laut kununu User:innen als Umweltschutz-Ingenieur:in in Nordrhein-Westfalen verdienen
Der Stellenanzeigentext wurde mithilfe von kununu intelligence (ki) analysiert und strukturiert.
Deine Aufgaben
- Support in building virtual environments in Unreal Engine 5 for the generation of synthetic training data
- Support in developing data generation pipelines, including scripted scene variation, domain randomization, and batch rendering
- Support in the automated export of annotations and ground truth data (e.g., bounding boxes, semantic segmentation, depth)
- Support in the integration of simulation frameworks such as AirSim and comparable modern (and internal) tools
- Support in preparing environments for later deployment on physical motion platforms
- Support in scientific publications
Dein Profil
- Ongoing studies in a STEM field such as computer science, engineering, mathematics, games engineering, or comparable
- Good knowledge of Python
- Basic knowledge of C++ is an advantage
- Experience with Unreal Engine 5 is an advantage
- Interest in machine learning, computer vision, and the safety of AI systems
- Good communication skills in English; German language skills are an advantage
Über den Arbeitgeber
The AI Engineering department defines and establishes and goal-orientated development processes, methods, and tools for safe and secure AI-based applications. The focus lies on the development and application of safety and security-by-design methods for AI-based components, as well as on the investigation of safe human-AI interaction.
The AI Engineering department defines and establishes and goal-orientated development processes, methods, and tools for safe and secure AI-based applications. The focus lies on the development and application of safety and security-by-design methods for AI-based components, as well as on the investigation of safe human-AI interaction.
Your tasks
• Support in building virtual environments in Unreal Engine 5 for the generation of synthetic training data
• Support in developing data generation pipelines, including scripted scene variation, domain randomization, and batch rendering
• Support in the automated export of annotations and ground truth data (e.g., bounding boxes, semantic segmentation, depth)
• Support in the integration of simulation frameworks such as AirSim and comparable modern (and internal) tools
• Support in preparing environments for later deployment on physical motion platforms
• Support in scientific publications
Your profile
• Ongoing studies in a STEM field such as computer science, engineering, mathematics, games engineering, or comparable
• Good knowledge of Python
• Basic knowledge of C++ is an advantage
• Experience with Unreal Engine 5 is an advantage
• Interest in machine learning, computer vision, and the safety of AI systems
• Good communication skills in English; German language skills are an advantage
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