Software Engineer AI / MPC (Talent Pool)
Company
DABBEL is an AI-Autonomous Building Management System with the ability to self-manage building control systems more efficiently than any human. ...
View Company ProfileJob Description
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!
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.
DABBEL is an AI-Autonomous Building Management System with the ability to self-manage building control systems more efficiently than any human. ...
View Company Profile