Gradyent is looking for Engineers in digital twin technology, AI, and energy efficiency
Join our talent community to explore FY 2025 opportunities and help shape our district heating systems
Full-time · Rotterdam, Netherlands

ABOUT GRADYENT

Providing heating and cooling for homes, buildings and industry accounts for roughly 50% of global energy consumption. Smart production, exchange, and consumption of heat in heating grids is the most significant opportunity for cities and industries to decarbonise. Yet, as heating grids transform towards renewables, they become increasingly complex and require a new approach to control and design.
Gradyent is a leading software provider that helps cities and heavy industry decarbonise faster by digitising, optimising, and transforming their heat networks with our Digital Twin. We are scaling the platform globally and looking for a driven Senior Product Analyst to support our product team.

WHAT YOU WILL DO

Our tech team consists of several teams: the Back-End, Front-End, Digital Twin and Cloud team.
We are looking for a digital twin engineer to join our Digital Twin team (consisting of software engineers, digital twin engineers and data analysts). We are a passionate team at the intersection of software development and engineering, aiming to maximize our sustainable impact through our SaaS platform. As part of the Digital Twin team, you will be working on a layer of intelligence (a combination of physics, mathematics and machine learning) that simulates, analyses and optimizes heat networks. As a digital twin engineer you will be building generalized software that can be configured by the colleagues in the Customer Solutions & Operations team. As a digital twin engineer you specifically focus on improving our models, control strategies, parameter estimation, and optimization strategies. These models could range from pipe flow calculations to heat source modelling, and from demand forecasting to time delayed heat transfer.
Our high level stack: Python, GCP, UbiOps, DuckDB, MongoDB, Parquet, Polars.

RESPONSIBILITIES

• Understanding the hydraulical and thermodynamical behaviour 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 digital twin features
• Collaborating with software engineers and solution engineers
• Take lead in larger projects/epics where you will guide several junior engineers in day-to-day
• Managing your tasks, planning, and potentially a sub-component of our product