Student (w/m/d) - Support in the Development of Synthetic Environments in Unreal Engine

German Aerospace Center (DLR); Sankt Augustin; Vor Ort; EUR 12.000 - 17.000; Teilzeit

Zusammenfassung

DLR Institute for AI Safety and Security offers a part-time student internship for up to 6 months, starting 01.10.2026, in Ulm and Sankt Augustin. The role focuses on developing synthetic training data with Unreal Engine 5 and data pipelines.

You will assist in exporting annotations, integrating AirSim, and preparing environments for future deployment on motion platforms, while contributing to publications.

Qualifikationen

• 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.

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 tools.
• Support in preparing environments for later deployment on physical motion platforms.
• Support in scientific publications.

Kenntnisse

Python

German language

English communication

C++

Unreal Engine 5

Tools

Unreal Engine 5

Jobbeschreibung

Vacancy-ID: 5990

Place of work: Ulm, Sankt Augustin

Starting date: 01.10.2026

Career level: Student employment

Type of employment: Part time

Duration of contract: 6 months, with the option to extend

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)

At the DLR Institute for AI Safety and Security, we research and develop AI-related methods, processes, algorithms, technologies and execution and system environments. Our focus is on safe and standard-compliant AI, cybersecurity in open data and service ecosystems and AI, as well as automation in mobility and logistics.

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

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 5990) please contact:

Dr. Sven Hallerbach

Tel.: [phone]