Vision Software Engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7ar4kp

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 ****.
/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 *******.
/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 ******, 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-*****-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7ar4kp