Vision Software Engineer
Pubblicato il 11-08-2026 - Coesia in Bologna
About the Company
ACMA is a leading organization headquartered in Bologna, Italy.
As 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.
Our business portfolio encompasses a wide range of innovative tailor-made packaging machinery solutions, by working hand-in-hand with customers and partners.
We strive to continuously expand our offerings and enhance our capabilities to meet the evolving needs of our customers.
For more detailed information about ACMA and its comprehensive business landscape, please visit www.acma.it/en.
ACMA 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.
About the Role
We are looking for a Machine Vision Engineer to join our Automation & Digital Innovation 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.
Main Responsibilities
- Develop, validate, and industrialize machine vision applications from prototype to full-scale production.
- Collaborate with cross-functional teams—Automation, Quality, Production—to integrate vision solutions into manufacturing processes.
- Conduct proof-of-concept activities for new vision technologies, architectures, and suppliers.
- Select and integrate hardware components, including sensors, industrial controllers, lenses, lighting systems, and cameras.
- Work with commercial vision platforms such as Omron and Cognex.
- Contribute to the design and evolution of the company’s IoT ecosystem, ensuring seamless data flow from edge devices to cloud infrastructure.
- Support the implementation of predictive maintenance,
performance analytics, and data-driven decision-making processes.
- Develop and maintain software for connected industrial systems, integrating sensors, edge devices, and cloud platforms.
- Ensure system scalability, reliability, and cybersecurity.
- stong C / C++ (Expert): embedded systems development, performance-critical image processing.
Relevant technical skills
- Python (Proficient): rapid prototyping, image processing, data analys
- Structured Text (ST) programming according to IEC 61131‑3.
- Experience working with Embedded Linux systems.
- Knowledge of industrial protocols such as MQTT and OPC UA.
- Familiarity with cloud platforms and basic cybersecurity principles.
Nice to have: knowledge of Machine Learning and Deep Learning techniques, particularly anomaly detection and image segmentation.
What You Need to Be Successful
- Degree in Computer Engineering, Electronic Engineering, Automation Engineering, or a related technical field.
- 4–6 years of experience in Machine Vision, embedded development, or industrial automation.
- Proven background in delivering machine vision applications in industrial environments.
- Experience with connected industrial systems and IIoT solutions is a strong plus.
- Strong analytical skills, problem‑solving mindset, and the ability to innovate.
- Ability to collaborate within cross‑functional teams and manage complex technical projects.
Our Offer
Compensation for this role includes a base salary starting from EUR 44400, in line with experience. The actual offer may exceed this minimum based on the candidate's qualifications and fit for the role.
A range of additional benefits (e.g., insurances, etc.) is also available in accordance with Company policy.
The applicable collective agreement is the CCNL Metalmeccanico.
Join the Team!
Coesia 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
Job Reference: CGS12984