Working Student (m/f/d) - Computer Vision & Robotics Infrastructure

• Deep Learning Research: Be at the forefront of robotic vision research by implementing, testing, andadapting state-of-the-art deep learning models.
• Infrastructure Development: Assist in building automated pipelines to evaluate detection,segmentation, and 6D pose estimation models and integrate new methods.
• Software Engineering: Bridge the gap between experimental research code and stable, real-worldrobotic testbeds.
• Dataset Management: Curate, preprocess, and version-control large-scale datasets.
• Performance Analytics: Develop scripts and dashboards to visualize model performance metricsacross different hardware targets.

Your Qualifications:

• Currently enrolled in a Master's program in Computer Science, Electrical Engineering, Robotics, or arelated field.
• Strong proficiency in Python (PyTorch, OpenCV) and a solid understanding of C++.
• A deep understanding of Computer Vision fundamentals, Deep Learning architectures and pipelines.
• Experience with Linux environments and git is a significant advantage.
• You value clean, maintainable code and have an analytical approach to troubleshooting complexsystems.

Why DLR?

• Gain valuable experience in a cutting-edge field with high demand.
• Work alongside leading scientists in a highly collaborative, international atmosphere.
• Deploy your work to exciting robotic systems in our lab.
• We support your studies with flexible working hours tailored to your exam periods.
• We offer the possibility to transition your work into a Master’s Thesis.

Location: DLR, Institute of Robotics and Mechatronics, Oberpfaffenhofen