• Deploy and integrate real systems - connecting PLCs, sensors, and data pipelines that help factories run more efficiently and reliably. • Consult customers on how to generate business value, by designing use cases, implementing and capturing tangible value with them • Shape the product from the field, feeding back real-world learnings to make UMH more scalable, robust, and developer-friendly. • Debug, optimize, and automate data flows across MQTT, Kafka (Redpanda), Docker, Benthos, and Grafana - and document patterns others can build on. • Work closely with the Product Engineering team to prototype new features, test deployments, and continuously improve the UMH stack.

• Using control descriptions, I/O lists, electrical schematics, and drawings, creating PLC/HMI code for control of various electro-mechanical systems • Assist Field Commissioning and Service Technicians with start-up and troubleshooting of applied programming • Work with engineering team to develop electrical, instrumentation and controls products and systems to satisfy unique customer specifications, contracts, and new business development • Create/review/modify electrical schematics, drawings, and I/O lists for various electro-mechanical systems to ensure compliance with engineering standards and customer specifications • Submit timely status reports to management on progress of assigned projects • Provide Purchasing department with technical guidance on electrical components, equipment, software, and services

• Participar en proyectos reales de consultoría técnica industrial • Elaboración de Planes de Autoprotección • Redacción de documentación técnica para cumplimiento normativo SEVESO • Desarrollo de proyectos APQ • Participación en estudios HAZID, HAZOP y SIL • Introducción a modelización de escenarios de riesgo (Effect, RiskCurve, DNV) • Análisis normativo y revisión técnica de instalaciones industriales • Apoyo en coordinación técnica y gestión documental de proyectos

• You will develop a next-generation localization product with a learning map architecture. • You will design and implement visual and acoustic sensor systems for drone detection. • You will develop a multi-sensor perception and fusion system for the drone early-warning system. • You will run machine learning and AI models directly on local sensors. • You will design, build, and maintain scalable models and deploy model inference directly to drone detection devices. • You will implement scalable intelligence with low-latency inference. • You will monitor systems, troubleshoot issues, and continuously improve observability.