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Employment type:
Full time
Experience required:
Senior
Salary
Salary not provided
About the company:
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.
You’ll join our Digital Twin team, currently consisting of software engineers and digital twin engineers. We’re a passionate engineering team looking to make the maximum impact on sustainability through our SaaS platform.
You’ll play a pivotal role in making our solution more robust, scalable and performant. By applying design patterns, smart algorithms and python best practices you’ll help scale our digital twin framework.
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.
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