Hybrid Development Engineer – Optimization, Control, Energy Systems, Python

Posted 2 weeks ago

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About the role

  • You develop, test and operate data- and model-based optimization and control algorithms for building and heating systems
  • Deploy control strategies developed in models and simulations into real heating/energy systems
  • Ensure effectiveness and stability and continuously improve strategies using IoT data
  • Work closely with embedded/firmware, backend, operations and customer-facing teams
  • Define interfaces and take responsibility for robust testing, documentation and monitoring

Requirements

  • Degree in engineering, energy/control engineering, physics, computer science, or equivalent practical experience
  • Strong Python and SQL skills; Git, testing and clean documentation are standard practices for you
  • Knowledge of control engineering/system modeling and optimization methods (e.g., LP/MILP, heuristics)
  • Experience with simulation and test design (scenarios, acceptance criteria, A/B or canary testing)
  • Routine in time series analysis of IoT data (data quality, outliers/drift, feature engineering)
  • Very good German skills (C1 GER) for team communication and documentation; English is a plus

Benefits

  • Flexible working: remote/hybrid with onsite phases in Alzenau
  • Good equipment, transparency and a collegial working environment
  • Budget for learning and further training

Job title

Development Engineer – Optimization, Control, Energy Systems, Python

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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