• Designing and implementing backend features using C# .NET Framework across multiple platform modules. • Developing and maintaining SOAP-based web services and integrating them with frontend and API consumers. • Building and enhancing UI components using TypeScript frameworks such as Sencha ExtJS. • Creating and optimizing SQL Server database objects, including stored procedures, views, and schema designs. • Developing ETL pipelines using SSIS and managing data integrations from regulatory and third-party sources. • Collaborating with cross-functional teams to deliver features end-to-end, from design to deployment within a DevOps-driven environment.

• You develop a multi-sensor perception and fusion system for a drone early-warning system. • You build the backend that runs machine learning and AI models directly on local sensors instead of on cloud servers. • You work on real-time networking for highly scalable distributed systems. • You implement scalable, low-latency intelligence. • You build architectures from scratch to support simulations, machine learning, and engineering workflows. • Together with the ML, MLOps, and DevOps teams, you enable fast and secure deployments. • You monitor systems, troubleshoot incidents, and continuously improve observability.

• Du entwickelst ein Multi-Sensor-Wahrnehmungs- und Fusionssystem für ein Drohnen-Frühwarnsystem mit lernender Kartenarchitektur. • Du entwickelst Computer Vision Models (Dataset Preparation, Auto-Labeling, Training Optimization, Edge/Cloud Deployment) und implementierst die visuellen und akustischen Sensordaten in das System. • Du übernimmst Kernel Customization auf z. B. Raspberry Pi für IoT-Performance und Prototyping mit Large Language Models (LLMs). • Du kombinierst GPU-accelerated Vision Models (CUDA, TensorRT, DeepStream) mit skalierbaren backend services. • Du integrierst Advanced Machine Learning Technologies und ML Algorithmen in die einzelnen Devices, um die Performance and Accuracy der Ortung signifikant zu verbessern. • Gemeinsam mit den Fusion Engineers, MLOps und DevOps Engineers ermöglichst du schnelle und sichere Deployments. • Du überwachst die Systeme, behebst Störungen und verbesserst kontinuierlich die Observability.

• Liderar arquitectura y estrategia de datos, participando en su diseño e implementación • Definir patrones de integración y optimización sobre tecnologías como Denodo, Snowflake, BigQuery, DBT y herramientas de orquestación de datos. • Asegurar buenas prácticas, rendimiento y gobierno del dato en las soluciones