Welcome to DABBEL! We are developing the next generation of building management: fully autonomous &amp; 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&amp;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? <ul><li style="font-family:Verdana , Geneva , sans-serif;">You will work in an ambitious, international team of experts who want to achieve our goals together</li><li style="font-family:Verdana , Geneva , sans-serif;">We are VC-backed and preparing for the high-growth phase - so you can take responsibility, really shape the company and grow personally</li><li style="font-family:Verdana , Geneva , sans-serif;">Together with you, we develop a personal development plan and promote your further training</li><li style="font-family:Verdana , Geneva , sans-serif;">You can work hybrid and organize your working hours flexibly</li><li style="font-family:Verdana , Geneva , sans-serif;">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</li><li style="font-family:Verdana , Geneva , sans-serif;">Last but not least: You help to reduce CO2!</li></ul> What the role looks like... <ul><li style="font-family:Verdana , Geneva , sans-serif;">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</li><li style="font-family:Verdana , Geneva , sans-serif;">You evaluate the current implementation and do R&amp;D of MPC controls to be applied on more different types of buildings</li><li style="font-family:Verdana , Geneva , sans-serif;">You generate reports of the research results and validate the viability together with the engineering team</li></ul> OUR TECH STACK Python 3 - Mongo DB - Cassandra - Javascript - HTML 5 - CSS - Docker - Amazon Web Services Your Profile <ul><li style="font-family:Verdana , Geneva , sans-serif;">3+ years developing software in Python (+ Pandas)</li><li style="font-family:Verdana , Geneva , sans-serif;">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</li><li style="font-family:Verdana , Geneva , sans-serif;">Background in Physics and thermodynamics</li><li style="font-family:Verdana , Geneva , sans-serif;">Basic concepts on control systems engineering and BMS (Building Management Systems)</li><li style="font-family:Verdana , Geneva , sans-serif;">Worked on a project creating a digital twin of a physical system</li><li style="font-family:Verdana , Geneva , sans-serif;">Knowledge of Control Systems</li><li style="font-family:Verdana , Geneva , sans-serif;">Experience leading R&amp;D teams and good reporting skills.</li><li style="font-family:Verdana , Geneva , sans-serif;">Wide know-how of different AI models and techniques</li><li style="font-family:Verdana , Geneva , sans-serif;">Experience in working in a fast-paced, dynamic startup environment</li><li style="font-family:Verdana , Geneva , sans-serif;">Data-driven, critical thinking, and problem-solving skills</li><li style="font-family:Verdana , Geneva , sans-serif;">Leadership skills</li><li style="font-family:Verdana , Geneva , sans-serif;">Clear communication</li><li style="font-family:Verdana , Geneva , sans-serif;">Fluent English (at least C1)</li><li style="font-family:Verdana , Geneva , sans-serif;">Nice to have: Worked with R&amp;D on developing MPC for buildings or HVAC systems</li></ul> 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. Controls include, but are not limited to, building temperature, ventilation and lighting. It makes its own decisions, through a self-learning, self-adapting and self-configuring system with cognitive artificial intelligence.  DABBEL reduces implementation, energy and operational costs (20-40%) and simultaneously increases the wellness and productivity of tenants providing a healthy environment. DABBEL can transform your office building into an AI Self-Driving building in just 2 weeks!  Do you want to know how? Let's have a talk!


Software Engineer AI / MPC (Talent Pool)

Welcome to DABBEL! We are developing the next generation of building management: fully autonomous &amp; 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)&nbsp;you will be responsible for R&amp;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? <ul><li>You will work in an ambitious, international team of experts who want to achieve our goals together</li><li>We are VC-backed and preparing for the high-growth phase - so you can take responsibility, really shape the company and grow personally</li><li>Together with you, we develop a personal development plan and promote your further training</li><li>You can work hybrid and organize your working hours flexibly</li><li>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</li><li>Last but not least: You help to reduce CO2!</li></ul> What the role looks like... <ul><li>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</li><li>You evaluate the current implementation and do R&amp;D of MPC controls to be applied on more different types of buildings</li><li>You generate reports of the research results and validate the viability together with the engineering team</li></ul> OUR TECH STACK Python 3 - Mongo DB - Cassandra - Javascript - HTML 5 - CSS - Docker - Amazon Web Services Your Profile <ul><li>3+ years developing software in Python (+ Pandas)</li><li>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</li><li>Background in Physics and thermodynamics</li><li>Basic concepts on control systems engineering&nbsp;and BMS (Building Management Systems)</li><li>Worked on a project creating a digital twin of a physical system</li><li>Knowledge of Control Systems</li><li>Experience leading R&amp;D teams and good reporting skills.</li><li>Wide know-how of different AI models and techniques</li><li>Experience in working in a fast-paced, dynamic startup environment</li><li>Data-driven, critical thinking, and problem-solving skills</li><li>Leadership skills</li><li>Clear communication</li><li>Fluent English (at least C1)</li><li>Nice to have: Worked with R&amp;D on developing MPC for buildings or HVAC systems</li></ul> 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.

Software Engineer AI / MPC (Talent Pool)

About the Job

About the Company

DABBEL AI

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