Model Based Developer – Senior Expert

We are seeking a Senior Expert to act as a technical cornerstone in the MBD tools division. In this role, you will design and develop proprietary simulation, code generation, and optimization tools, directly integrating advanced AI technologies to revolutionize the engineering workflow. You will join a high-caliber team of PhDs and researchers in a dynamic, collaborative environment.

Key Responsibilities

• Drive Technological Evolution: Lead the roadmap for proprietary MBD tools, moving toward AI-assisted, large-scale efficient simulation and optimized code generation.
• Architect Systems: Design and develop the internal infrastructure for simulation and test generation within the energy and automation domains.
• AI Integration: Research and implement multi-agent AI architectures (including LLMs, RAG, and orchestration) to enhance product capabilities.
• Collaborative Innovation: Work across a multi-cultural team to turn complex research projects into functional, industry-leading solutions.

Essential Requirements

• Education: M.Sc. in Engineering (PhD strongly preferred).
• Experience: 10+ years of expertise with commercial MBD tools used in PLC or energy domains (e.g., Siemens, Schneider Electric, Beckhoff, General Electric).
• Domain Vision: Deep knowledge of MBD trends and the ability to drive innovation for energy-specific applications.

• Model Engineering: Expertise in model-driven engineering, including model-to-text, text-to-model, and model-to-model transformations.
• Code Generation: Mastery of code generation from models (e.g., XText, Acceleo, Model-IR) for embedded devices and optimization techniques.
• Tooling & Simulation: Familiarity with UML, Simulink/Stateflow, and the Eclipse Modeling Framework (EMF), alongside experience in MIL/SIL simulation.
• Optimization: Proven ability to solve complex problems using MILP, Simulated Annealing, or Genetic Algorithms.

• Programming: Excellent Java and good Python skills.
• AI Frameworks: Hands-on experience with TensorFlow, CUDA, PyTorch, LangChain, or Docling.
• Advanced AI Implementation: Experience in prompt engineering, fine-tuning, reinforcement learning, model quantization, and building efficient multi-agent architectures.
• Travel: Availability to travel within Europe and internationally (including Asia) for project collaboration, potentially for several weeks at a time.