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

Posted 3 hours ago

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About the role

  • 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

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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