Software Architect - Advanced Process Control and Optimisation

Job Description

Are You a Pioneer in Advanced Process Control and Digital Twin Technology?

Our Client:

Join our client in a digital innovation journey within the food production sector. This is more than just a job; it’s an opportunity to dive into the world of automation, digitalisation, and process optimisation. If these fields excite you, this is your chance to join a diverse, agile team with a global outlook. Our client is a leading European sugar producer with a large team of over 2,000 members and modern production facilities. They are moving towards a digital future with their “Smart Plant” team leading the way. This team uses new technologies like the Internet of Things (IoT) and machine learning to improve how food is produced. As they expand their horizons further into the digital realm, they are now in search of a visionary:

We are looking for an experienced
Software Architect - Advanced Process Control and Optimisation
To explore Model-Predictive Control and Digital Twin Technology.

Your expertise will be a cornerstone in furthering our client’s digital transformation journey, aligning technological advancements with actionable insights to drive continuous improvement in food production processes.

Your Role:

• Lead a team of software engineers to create a software platform, developing new control algorithms like state estimators and model predictive controllers.
• Create a framework for understanding and improving industrial processes.
• Work with system architects and app developers to improve the system to meet the framework’s needs.
• Work with frontend developers to create new Human Machine Interfaces for the framework.
• Help control application developers set up high-level controllers and align new software requirements.

Requirements

Your Background:

• Strong focus on software engineering and scientific computing for advanced process control.
• Experience with object-oriented programming languages, preferably Python.
• Familiar with software engineering tools and methods, like Scrum and Git, regression testing, and code review.
• Interest in scalable solutions and new system infrastructure technologies.
• Understanding of typical automation setups, from the sensor to algorithm to actor.

Your Personality:

• A team player, open-minded.
• Willing to learn and adapt to new technologies.
• Eager to improve your skills.
• Good communication skills in English.

Professional Development and Benefits:

• Pathway for professional growth in Mathematical Programming, Control Technologies, and Real-time Applications of Dynamic Models.
• Opportunity to delve into the world of modern feedback control algorithms, get acquainted with established control technologies such as DMC+, Profit Controller, gDAP, and explore dynamic physical modelling formalisms like DAE and ODE.
• Gain practical insight into optimisation techniques (e.g., NLP, QP, MILP), learn about symbolic versus numerical solution methods for simulation and optimisation, and discover how to render dynamic models in real-time capable while preserving their accuracy, for instance, through surrogate functions.
• Extensive training provided in IoT technology, modern coding practices (Python), and agile project methods.
• Remote work option up to 100% available.
• Inclusive work culture with team events, 13 monthly salaries, bonus programmes, and modern IT equipment.
• 30 days of holiday and flexible work hours of 37 hours/week between 6 a.m. and 10 p.m.

Embark on a Digital Innovation Journey: Take Control of Your Future

We are a specialised partner in recruiting for niche tech roles within the European food and beverage market, conducting this search with utmost privacy on behalf of our client.

Your next step begins with your application.

Seize this opportunity to engage in an initial conversation with us, and together, let’s explore the exciting possibilities awaiting you with our client.

Your future is in your hands; take the first step towards a digitally innovative journey.

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Zuletzt aktualisiert am 19.04.2024