SOFTWARE ENGINEER
Role
We are looking for an experienced software engineer in the area of industrial automation and controls. You will join the development team, working closely with the data science team and customers to provide software solutions to automatically control and optimize the production processes of the glass-making industry.
Responsibilities
- Development of real-time, high-performance software for AI-based control systems for hollow glass production
- Real-time interaction and communication with automated production machines
- Management of data storage with both SQL and NoSQL databases
- Interfacing with machine learning and AI models to implement control systems
- Network communication with other software systems through common protocols (TCP/IP, http…)
- Interaction with low-level machine network interfaces (e.g. Opc-ua, modbus, ethercat, profinet…)
- Direct real-time interaction with PLC data blocks of the automation industrial systems
Required Qualifications
- BSc or MSc in Computer Science, Information/Electronic Engineering or related disciplines (Engineering, Mathematics, Physics), post-diploma ITS graduation, undergraduates (Diploma) with experience can be also evaluated
- Expertise on C++ or C# or Python programming languages
- Proficiency in object-oriented design and development
- Knowledge of distributed configuration and versioning management frameworks (e.g. Git)
- Experience in software development in the industrial fields
- Capability to work both in Windows and Linux operating systems
- Http communication protocols
- Expertise on control systems is a plus
- Experience with industrial Ethernet technologies is a plus
- Experience with low-level PLC communication is a plus
- Basic knowledge of Machine Learning is a plus
Offer
Not just a software development job, but a real engineering position, where you can learn the fundamentals of the glass production process, including thermo-fluid dynamics and rheology, as well as the interaction with automation machines and state-of-the-art sensing technologies, with cutting-edge AI modeling
- Access to the state-of-the-art technologies for software and AI R&D
- An Agile development philosophy relying on the Scrum framework
- A young, international, motivated, and fast-paced team, mainly composed of software developers, data scientists and automation engineers
- A nice working environment, located in the “Progetto Manifattura”, startup hub in Rovereto
- A startup working model, with the advantages of being backed by two international market leaders
Your Application
Ready to take up the challenge?
We’d be happy to review and discuss your application
Please send us your CV and cover letter and make sure to include links to your personal website, LinkedIn, GitHUB, etc.
Apply now
Back-End Software Developer (Python, Javascript)
Role
We are looking for an experienced back-end developer in the area of industrial or technical software development. You will join the development team, working closely with the data science team and customers to provide software solutions to automatically control and optimize the production processes of the glass-making industry.
Responsibilities
- Development of backend libraries and software to collect, store, process and deliver data for hollow glass production plants
- Management of data storage with both SQL and NoSQL databases
- Implementation of event-driven service-based and micro-service software architectures, through asynchronous message broking systems (RabbitMQ, Apache)
- Implement REST APIs
- Design and keep updated the necessary unit and system tests
- Co-operate with front-end developer in designing and development of user interfaces
Required Qualifications
- BSc or MSc in Computer Science, Information/Electronic Engineering or related disciplines (Engineering, Mathematics, Physics), post-diploma ITS graduation, undergraduates (Diploma) with experience can be also evaluated
- Good expertise on Python, C# is a plus
- Good knowledge of Database systems (SQL, NoSQL)
- Proficiency in object-oriented design and development
- Knowledge of state-of-the-art software architectures (microservice ecosystems, event-driven systems)
- Ability to work both in Windows and Linux systems
- Good knowledge of Javascript/TypeScript, HTML, CSS, Angular, are a plus
- Knowledge of Machine Learning is a plus
- Knowledge of Docker (Kubernetes is a plus)
Offer
Not just a software development job, but a real engineering position, where you can learn the fundamentals of the glass production process, including thermo-fluid dynamics and rheology, as well as the interaction with automation machines and state-of-the-art sensing technologies, with cutting-edge AI modeling
- Access to the state-of-the-art technologies for software and AI R&D
- An Agile development philosophy relying on the Scrum framework
- A young, international, motivated, and fast-paced team, mainly composed of software developers, data scientists and automation engineers
- A nice working environment, located in the “Progetto Manifattura”, startup hub in Rovereto
- A startup working model, with the advantages of being backed by two international market leaders
Your Application
Ready to take up the challenge?
We’d be happy to review and discuss your application
Please send us your CV and cover letter and make sure to include links to your personal website, LinkedIn, GitHUB, etc.
Apply now
Machine Learning Engineer
Role
We are looking for a Machine Learning Engineer in the area of industrial or technical solutions. You will join the Data Science team, working closely with the Data Engineering team, the Software Development team, and industry process stakeholders to create and improve exciting ML solutions.
Responsibilities
- Development of advanced machine and deep learning algorithms for complete automation of production process control
- Manage the exploration and exploitation phases of a project
- Identify and communicate the performance metrics of the models, helping the process experts to link with the customer specifications
- Conceptualize, design, develop, and test Python code using popular libraries (PyTorch, TensorFlow, Scikit, Pandas, Numpy, etc.)
- Interfacing with ETL internal pipeline and data management libraries
- Contributing to data transformation and filtering algorithms
- Understanding and application of best practices in machine learning, software engineering, and/or production deployment of ML services
- Participation to the Agile rituals in a multidisciplinary team
Required Qualifications
- Graduate studies in Machine Learning, Data Science or Applied Mathematics, Graduate studies in Computer Science with relevant studies in software development with a focus on AI/ML techniques, or undergraduate studies in Computer Science and equivalent work history in AI/ML (2 years minimum)
- Motivation for Agile development
- Advanced level in PyTorch, TensorFlow, or other deep learning frameworks
- Basic knowledge of SQL
- Good knowledge of versioning control systems (Git)
Additional Preferred Qualifications
- Experience in software engineering with advanced skills in Python
- Experience in Agile Software Development
- Experience in delivering products powered by machine learning
- Track record of contributing to open-source projects
- Experience in other programming languages other than Python, such as C++, Java, R etc
- Big data management
Offer
Not just a data scientist job, but a real engineering position, where you can learn the fundamentals of the glass production process, including thermo-fluid dynamics and rheology, as well as the interaction with automation machines and state-of-the-art sensing technologies, with cutting-edge AI modeling
- Access to the state-of-the-art technologies for software and AI R&D
- An Agile development philosophy relying on the Scrum framework
- A young, international, motivated, and fast-paced team, mainly composed of software developers, data scientists and automation engineers
- A nice working environment, located in the “Progetto Manifattura”, startup hub in Rovereto
- A startup working model, with the advantages of being backed by two international market leaders
Your Application
Ready to take up the challenge?
We’d be happy to review and discuss your application
Please send us your CV and cover letter and make sure to include links to your personal website, LinkedIn, GitHUB, etc.
Apply now
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