Optimization Engineer, Energy Systems & Simulation
Encentive GmbH
Job Overview
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Job Description
About Us
At encentive, we develop flexOn – an intelligent energy management system that controls industrial plants using AI. We collect real-time data from plants, predict their behavior, combine this with external factors such as weather and energy prices, and thus simultaneously optimize costs and CO₂ emissions.
Shape the future of energy: It will not only be crucial to consume less energy but to use it at the right time – this way, volatile renewable energies from wind and sun can be optimally integrated. With our AI-powered flexOn platform, we help industrial power consumers actively flexibilize their energy use – meaning, use electricity precisely when it is particularly green and cost-effective. Our goal: to advance the decarbonization of the energy system while significantly reducing costs for our customers.
Your Responsibilities
- Python: Further development of our energy management system for plant clusters (e.g., PV, storage, heat pump, CHP): modeling, decision-making, and schedule/setpoint generation.
- MATLAB/Simulink: Building modular simulation environments and generic model structures (state-space representation, time series, state transitions). Testing & validating control programs (HiL, SiL, MiL) and model/controller tests.
- Software Engineering: Architecture work, code reviews, tests (pytest/Simulink Test), CI/CD; close collaboration in an agile team.
Your Profile
- Completed degree in engineering, computer science, energy technology, or equivalent.
- Very good Python skills: experience with time series (pandas), typing/dataclasses, pytest, structured logging; working with REST-APIs and object storages (S3); clean software design.
- Very good MATLAB/Simulink skills: modeling technical systems, building generic models, state-space/transitions/time-series, HiL/SiL/MiL.
- Advantageous: understanding of energy systems and (rule-/optimization-based) decision-making processes; experience with control engineering.
- Advantageous: experience with optimization (e.g., LP/MILP, pyomo), Docker/CI.
- Independent, structured way of working and enjoyment of interdisciplinary project work.
Why Us?
- Real Impact: You make a noticeable contribution to the fight against climate change from day one.
- Entrepreneurial Freedom: Flat hierarchies, maximum responsibility, and creative freedom – your ideas are not just welcome but crucial for encentive's further development.
- Modern Work Environment: Inspiring offices in the heart of Berlin-Mitte and in Hamburg's Sternschanze – centrally located, well-connected, and full of life.
- Flexibility: Hybrid work & flexible working hours – you decide how you can best unleash your productivity.
- Sustainable Mobility: We cover your Deutschlandticket so you can travel comfortably and climate-friendly.
- Health & Wellbeing: Access to Wellpass with hundreds of fitness and wellness offers across Germany.
- Team Spirit: Several offsites per year in exciting European locations – for inspiration, strategy, and genuine team cohesion.
Key skills/competency
- Python Programming
- MATLAB/Simulink
- Energy Management Systems
- Optimization Algorithms
- AI/Machine Learning
- Software Architecture
- Test Automation
- Time Series Analysis
- CI/CD Pipelines
- Renewable Energy Integration
How to Get Hired at Encentive GmbH
- Research encentive's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align your application with their vision for sustainable energy.
- Tailor your resume for encentive: Highlight Python, MATLAB/Simulink, and energy system optimization experience. Emphasize contributions to AI-driven solutions and decarbonization efforts.
- Showcase technical expertise: Prepare to discuss specific projects involving energy system modeling, simulation validation (HiL, SiL, MiL), and software engineering best practices during interviews.
- Demonstrate problem-solving skills: Be ready to articulate your approach to complex optimization challenges in energy management, particularly with LP/MILP and AI integration.
- Highlight collaborative spirit: Emphasize experience in agile teams, architectural contributions, code reviews, and cross-functional project work, as valued at encentive.
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