Software Developer – LiDAR-Based ODS for Railway Stations (f/m/d)

Your tasks will be:

• Processing and fusion of point cloud data from a large number of LiDAR sensors
• Calibration, registration, and pre-processing of multi-sensor setups
• Noise filtering and data quality assurance across heterogeneous sensor configurations

• Development and optimization of state-of-the-art algorithms for obstacle detection and classification (e.g., clustering, segmentation, deep-learning-based approaches)
• Adaptation and tuning of algorithms to railway-specific environmental conditions

• Porting and optimization of algorithms for GPU architectures (e.g., CUDA, TensorRT)
• Ensuring real-time capable performance on embedded GPU platforms (NVIDIA AGX platform)

• Architecture and implementation of data pipelines for latency-free real-time processing of high-volume LiDAR data streams
• Efficient data recording, buffering, and streaming for logging and offline analysis
• Scalable design to accommodate a large number of sensors per station

Following know-how is required:

• Experience with LiDAR / 3D point cloud processing and sensor fusion
• Knowledge of obstacle detection, object classification and AI-based algorithms
• Experience with GPU computing, ideally CUDA / TensorRT and NVIDIA AGX
• Strong understanding of real-time data processing and high-volume data pipelines
• Experience with multi-sensor systems and data quality assurance
• Experience in at least two of the following areas: sensor fusion, detection algorithms, GPU implementation, real-time data processing
• Experience with agile development methods (Scrum)
• Fluent English skills; German is a plus

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