KONUX applies machine learning and industrial IoT to railway operations, using Python, PySpark, Pandas, and Databricks to process sensor data at scale. The tech stack—heavy on data transformation (PySpark, Polars, statsmodels, PyMC) paired with AWS infrastructure—reflects a company solving real-time signal processing and predictive modeling problems. Hiring across product, data, engineering, ops, and security suggests a shift from pure R&D toward operational maturity and customer deployment.
Notable leadership hires: Head of Product
KONUX is a Munich-based AI scale-up founded in 2014 that combines machine learning and IoT sensors to optimize railway operations. The platform focuses on increasing capacity, reliability, and cost-efficiency for rail operators across Europe and Asia. The company operates across three main areas: device installation and sensor integration, platform analytics (running on Databricks and AWS), and predictive maintenance workflows. Current initiatives include the Konux Switch product, technical inspection automation, and continuous optimization of field operations and customer deployment processes.
KONUX uses Python, PySpark, Pandas, Polars, SQL, and statsmodels for data transformation and analysis, with Databricks as the core analytics platform and AWS for cloud infrastructure.
KONUX is headquartered in Munich, Germany, and currently hiring only in Germany across product, data, engineering, operations, and security roles.
Active projects include the Konux Switch platform, device installation for customer insights, technical inspection of railway switches, and continuous improvement of field operations and digitalisation workflows.
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