Software Engineer AI / MPC (Talent Pool)

Welcome to DABBEL!
We are developing the next generation of building management: fully autonomous & AI-based with the most scalable and cost-effective software solution to reduce energy consumption in commercial buildings worldwide.
Our team of engineers, developers, sales, marketing and admin experts in Germany, Spain and the UK acts cross-functionally and agilely and works together to realize our mission: to reduce CO2 emissions worldwide as quickly as possible.
We are looking for talented people who want to lend a hand and make a difference. Bring your ideas to us and grow with us!

As a Software Engineer AI / MPC (all genders) you will be responsible for R&D to apply MPC (Model Predictive Control) on HVAC systems by designing thermodynamic models that can do predictions and develop optimization algorithms to choose the most efficient target setpoints. Why DABBEL?

• You will work in an ambitious, international team of experts who want to achieve our goals together

• We are VC-backed and preparing for the high-growth phase - so you can take responsibility, really shape the company and grow personally

• Together with you, we develop a personal development plan and promote your further training

• You can work hybrid and organize your working hours flexibly

• Our office in Düsseldorf is very modern, well equipped and very easy to reach by public transport, and we are going to open offices in Berlin, Munich and London soon

• Last but not least: You help to reduce CO2!

What the role looks like...

• You work on developing grey box models to be used by our core software, enabling it to make accurate predictions and optimize building management systems more effectively

• You evaluate the current implementation and do R&D of MPC controls to be applied on more different types of buildings

• You generate reports of the research results and validate the viability together with the engineering team

OUR TECH STACK
Python 3 - Mongo DB - Cassandra - Javascript - HTML 5 - CSS - Docker - Amazon Web Services

Your Profile

• 3+ years developing software in Python (+ Pandas)

• Deep knowledge in AI, such as supervised and unsupervised learning, reinforcement learning for control systems, time-series forecasting, optimization algorithms (e.g., genetic algorithms, particle swarm optimization), and MPC techniques, among others

• Background in Physics and thermodynamics

• Basic concepts on control systems engineering and BMS (Building Management Systems)

• Worked on a project creating a digital twin of a physical system

• Knowledge of Control Systems

• Experience leading R&D teams and good reporting skills.

• Wide know-how of different AI models and techniques

• Experience in working in a fast-paced, dynamic startup environment

• Data-driven, critical thinking, and problem-solving skills

• Leadership skills

• Clear communication

• Fluent English (at least C1)

• Nice to have: Worked with R&D on developing MPC for buildings or HVAC systems

One of our most important values is “People first”. Our employees are our most important asset and we believe that innovation needs a diverse and inclusive culture. With DABBEL you can be as you are. Everybody is welcome.