Software Engineer (C#, Python)
Pubblicato il 06-08-2026 - Experteer Italy in Bologna
Experteer Overview As a Machine Vision Engineer at ACMA, you will advance vision systems and the Industrial IoT ecosystem to enhance process control, quality, and predictive maintenance. You will work within the Automation & Digital Innovation team to integrate vision solutions across manufacturing, from prototype to production. The role involves evaluating new vision technologies, hardware integration, and edge‐to‐cloud data flows.
This position offers a chance to shape scalable, secure, data‐driven manufacturing solutions in a global packaging machinery context.
Retribuzione / Benefits Develop, validate, and industrialize machine vision applications from prototype to production.
Collaborate with Automation, Quality, and Production to embed vision into manufacturing processes.
Conduct proof‐of‐concept activities for new vision technologies, architectures, and suppliers.
Select and integrate hardware components (sensors, controllers, lenses, lighting, cameras).
Work with commercial vision platforms such as Omron and Cognex.
Contribute to design and evolution of the IoT ecosystem,
ensuring data flow from edge to cloud.
Support predictive maintenance, performance analytics, and data‐driven decision‐making.
Develop and maintain software for connected industrial systems, integrating sensors, edge devices, and cloud platforms.
Ensure system scalability, reliability, and cybersecurity.
Responsabilità 4–6 years of experience in Machine Vision, embedded development, or industrial automation.
Proven background delivering machine vision applications in industrial settings.
Strong proficiency in C / C++ (embedded, performance‐critical image processing).
Proficient in Python for rapid prototyping, image processing, data analysis.
Structured Text programming per IEC 61131‐3;
experience with Embedded Linux.
Knowledge of MQTT and OPC UA industrial protocols.
Familiarity with cloud platforms and basic cybersecurity principles.
- Degree in Computer Engineering, Electronic Engineering, Automation Engineering, or related field.