Development Engineer focusing on optimization algorithms and data analysis for energy systems. Collaborating with cross-functional teams to ensure stability and performance in real-world applications.
Responsibilities
Develop and implement optimization and control algorithms
Build simulation and test environments and validate strategies before field rollout
Analyze and preprocess IoT time-series data for modeling, parameterization and performance validation
Integrate solutions into production operation with backend/embedded systems, including rollout/rollback strategies
Monitor and oversee field performance (define KPIs, detect drift/anomalies, derive improvements)
Support pilot projects, evaluate results and document findings transparently; conduct peer reviews and share knowledge
Requirements
Degree in engineering, energy/control engineering, physics, computer science or equivalent practical experience
Very strong Python and SQL skills; Git, testing and clear documentation are standard 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 and canary deployments)
Proficiency in time-series analysis of IoT data (data quality, outliers/drift, feature engineering)
Excellent German skills (C1 GER) for team communication and documentation; English is a plus
Benefits
Learning and training budget
Good equipment, transparency and a collegial work environment
Flexible working: remote/hybrid with on-site phases in Alzenau
Job title
Development Engineer – Optimization, Control, Energy Systems, Python
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