Vision Software Engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79pd0y

ppACMA is a leading organization headquartered in Bologna, Italy. /p pAs a key player in the consumer goods industry for over 100 years, we specialize in manufacturing packaging machines for a range of sectors, including Food, Personal Care, Home Care, Chemicals and E-Commerce. /p pOur business portfolio encompasses a wide range of innovative tailor‑made packaging machinery solutions, by working hand-in-hand with customers and partners. /p pWe strive to continuously expand our offerings and enhance our capabilities to meet the evolving needs of our customers. /p pFor more detailed information about ACMA and its comprehensive business landscape, please visit /p pACMA is part of Coesia, a group of innovation-based industrial and packaging solutions companies operating globally, headquartered in Bologna, Italy. Coesia operates in 34 countries with 20 different companies and employs over 8,000 people as of 2023. /p h3About the Role: /h3 pWe are looking for a bMachine Vision Engineer /bto join our bAutomation Digital Innovation /b team. The role will contribute to the development of advanced vision systems and our Industrial IoT ecosystem, supporting key initiatives in process control, quality assurance, predictive maintenance, and data-driven manufacturing. /p h3Main Responsibilities /h3 ul liDevelop, validate, and industrialize machine vision applications from prototype to full-scale production. /li liCollaborate with cross-functional teams—Automation, Quality, Production—to integrate vision solutions into manufacturing processes. /li liConduct proof-of-concept activities for new vision technologies, architectures, and suppliers. /li liSelect and integrate hardware components, including sensors, industrial controllers, lenses, lighting systems, and cameras. /li liWork with commercial vision platforms such as bOmron /b and bCognex /b. /li liContribute to the design and evolution of the company’s IoT ecosystem, ensuring seamless data flow from edge devices to cloud infrastructure. /li liSupport the implementation of predictive maintenance, performance analytics,



and data-driven decision-making processes. /li liDevelop and maintain software for connected industrial systems, integrating sensors, edge devices, and cloud platforms. /li liEnsure system scalability, reliability, and cybersecurity. /li /ul h3Technical Skills /h3 ul listong C / C++ (Expert): embedded systems development, performance-critical image processing. /li libPython (Proficient) /b: rapid prototyping, image processing, data analys /li libStructured Text (ST) /b programming according to IEC 61131‑3. /li liExperience working with bEmbedded Linux /b systems. /li liKnowledge of industrial protocols such as bMQTT /b and bOPC UA /b. /li liFamiliarity with cloud platforms and basic cybersecurity principles. /li /ul pNice to have: knowledge of bMachine Learning and Deep Learning /b techniques, particularly banomaly detection /b and bimage segmentation /b. /p h3What You Need to Be Successful: /h3 ul liDegree in Computer Engineering, Electronic Engineering, Automation Engineering, or a related technical field. /li lib4–6 years of experience /b in Machine Vision, embedded development, or industrial automation. /li liProven background in delivering machine vision applications in industrial environments. /li liExperience with connected industrial systems and IIoT solutions is a strong plus. /li liStrong analytical skills, problem‑solving mindset, and the ability to innovate. /li liAbility to collaborate within cross‑functional teams and manage complex technical projects. /li /ul h3Our Offer /h3 pCompensation for this role includes a base salary starting from EUR 44.400, in line with experience. The actual offer may exceed this minimum based on the candidate's qualifications and fit for the role. /p pA range of additional benefits (e.g., insurances, etc.) is also available in accordance with Company policy. /p pThe applicable collective agreement is the CCNL Metalmeccanico. /p pCoesia is an equal opportunity employer. We believe in fair, merit-based recruitment and assess all candidates exclusively on the basis of their qualifications, skills, experience and suitability for the role /p /p #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79pd0y