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As a senior member of the team, you will play a key role in designing and evolving the intelligence layer of our SaaS platform—a fusion of physics, mathematics, and machine learning that simulates, analyzes, and optimizes heat networks. You will lead the development of generalized, high-performance software that enables our Customer Solutions & Operations colleagues to configure and deploy digital twin models across diverse projects.

You will take ownership of complex engineering challenges, such as improving model fidelity, control strategies, parameter estimation, and optimization techniques. These models span pipe flow calculations, heat source modeling, demand forecasting, and time-delayed heat transfer.

Our high level stack: Python, GCP, UbiOps, DuckDB, MongoDB, Parquet, Polars.

Responsibilities

• Lead the design and implementation of scalable, performant Python code for digital twin applications.
• Architect and evolve subsystems within our digital twin platform, ensuring they integrate seamlessly into the broader system landscape.
• Drive the research and development of advanced modeling techniques, control systems, and optimization strategies.
• Translate complex engineering principles into efficient and accurate physical models.
• Collaborate cross-functionally with software engineers, solution engineers, and data analysts to deliver impactful features.
• Mentor junior and medior engineers, guiding them in technical decision-making and best practices.
• Take ownership of larger epics and product components, including planning, execution, and delivery.
• Continuously improve our software development practices, including CI/CD pipelines and agile workflows.

Who You Are

• BSc/MSc in Applied Physics, Mathematics, Mechanical Engineering, Computer Science, or a related field.
• 5+ years of experience in a similar role, with a strong track record of technical leadership and delivery.
• Deep expertise in Python, including performance optimization and advanced package usage (e.g., Polars, NumPy, Pandas).
• Strong grasp of software design principles, capable of redesigning legacy code and owning large parts of the codebase.
• Experience designing and implementing system architectures and data pipelines.
• Proven ability to research, implement, and optimize numerical algorithms and physical models.
• Solid understanding of fluid dynamics, thermodynamics, and control systems.
• Experience with Git, CI/CD, and agile development practices.
• High degree of ownership, autonomy, and intrinsic motivation.
• Excellent communication and collaboration skills.

Find yourself checking a lot of these boxes but doubting whether 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

What We Offer

• A very ambitious scale-up: just raised Series B from an international consortium of investors in the sustainable energy industry.
• The opportunity to directly impact sustainability and the energy transition.
• A competitive salary with a variable incentive on top.
• An excellent benefits package and fantastic team events.
• A great scale-up dynamic with a high-performance culture while having fun (drinks, offsites, sports events).
• Flexible hybrid work location from Rotterdam
• We invest in your personal growth – the team is competent at coaching, mentoring and development.
• Get unique opportunities to shape your path in a fast-growing team.

Apply for the job Do you want to join our team as our new Senior Digital Twin Engineer? Then we'd love to hear about you!