Digital Twin Engineer

About Gradyent 

Providing heating and cooling for homes, buildings, and industry accounts for nearly 50% of global final energy consumption. As these systems become increasingly interconnected with multiple energy carriers, their complexity will grow significantly. 

Traditional software is no longer sufficient to manage this level of complexity. This increases the need for digital and data-driven solutions to improve efficiency, enable smarter decision-making, and ensure reliable energy delivery. 

With our real-time Digital Twin Platform, we create a digital copy of the entire grid from production through distribution to end-users, combining geographical, weather, and sensor data with physics-based models and AI. It allows energy providers to optimise their systems in real time, improve operational control, and run simulations of future situations. 

Our team consists of 150+ energy specialists, engineers, data scientists and top-tier consulting alumni and is backed by investors Blue Earth Capital, SEB Greentech Venture Capital, Capricorn Partners, Eneco Ventures, Helen Ventures, and Energiiq. 

What we’re looking for 

You’ll join our Digital Twin team, consisting of software engineers, digital twin engineers, and data analysts. We’re at the intersection of software development and engineering, aiming to maximize our sustainable impact through our SaaS platform.  

You’ll be working on a layer of intelligence (a combination of physics, mathematics, and machine learning) that simulates, analyses, and optimizes heat networks. You’ll be tasked with building generalized software that can be configured by our colleagues in the Customer Solutions & Operations team. You’ll focus on improving our models, control strategies, parameter estimation, and optimization strategies. 

Our high-level stack 

• Python, GCP, UbiOps, DuckDB, MongoDB, Parquet, Polars. 

What you’ll be doing 

• Understanding the hydraulical and thermodynamical behavior of heating systems 
• Writing scalable and efficient Python code where performance is key 
• Using and extending our digital twin software in state-of-the-art projects 
• Research and development of new experimental features 
• Collaborating with software engineers and solution engineers 
• Managing your tasks, planning, and potentially a sub-component of our product 

About you 

• Expertise in Python software development and software engineering principles, in a hands-on capacity 
• Experience with Git 
• Knowledge of fluid dynamics and thermodynamics 
• Knowledge of simulation, control systems, parameter estimation, and/or optimization 
• Team player, with a high degree of ownership and intrinsic drive 
• BSc/MSc in applied physics, mathematics, mechanical engineering, computer science or equivalent 
• Nice to have: Knowledge of machine learning and ML OPS and familiarity with GIS data and QGIS 

Why Join? 

• An ambitious scale-up: raised Series B from an international consortium of investors in the sustainable energy industry. 
• The chance to have a direct impact on sustainability and energy transition. 
• An international, inspiring environment of brilliant, fun, creative professionals. 
• A dynamic and high-performance culture open to new ideas and full of learning opportunities. 
• A competitive salary with a variable incentive (SAR) on top. 
• An excellent benefits package including an NS business card and fantastic team events. 

Checking the boxes but doubting if you should apply? 

At Gradyent, we support a growth mindset for our teams through all stages of their careers. If you meet some of the requirements and you share our values, we encourage you to apply. 

As part of our ongoing commitment to a diverse, equitable, and inclusive workplace, we’re invested in building teams with a wide variety of backgrounds, identities, and experiences.