Work Location: Pisa, Italy
Contract Type: Full-time, On-site
Responsibilities:
* Drive the technological evolution of proprietary MBD toolchains toward AI-assisted workflows.
* Advance capabilities in large-scale efficient simulation, optimized code generation, and automated test generation.
* Lead the integration of LLMs and agentic workflows into the engineering design process.
Requirements:
* Education: M.Sc. in Engineering; a PhD is strongly preferred.
* Domain Expertise: Minimum 10 years of experience with commercial MBD tools used in PLC or energy domains (e.g., platforms similar to Siemens, Schneider Electric, Beckhoff, or GE).
* Programming: Excellent command of Java and strong proficiency in Python.
* MBD Technical Skills:
o Expertise in model-driven engineering: model-to-text, text-to-model, and model-to-model transformations.
o Deep knowledge of code generation for embedded devices (e.g., XText, Acceleo, Model-Intermediate representations) and code optimization techniques.
o Familiarity with modeling languages and frameworks: UML, Simulink/Stateflow, and Eclipse Modeling Framework (EMF).
o Experience with MIL/SIL (Model/Software-in-the-loop) simulation environments.
o Proven ability to solve complex optimization problems (e.g., MILP, Simulated Annealing, Genetic Algorithms).
* AI & ML Expertise:
o Hands-on experience with AI frameworks: TensorFlow, PyTorch, CUDA, LangChain, or Docling.
o Practical experience in Prompt Engineering, Fine-tuning, Reinforcement Learning, and Model Quantization.
o Experience building efficient multi-agent AI architectures (including RAG and orchestration) and integrating them into production-grade software.
* Professional Skills: Excellent communication, high level of initiative, and strong self-organization.
* Language & Travel: Fluency in English. Ability to work in a multi-cultural environment and availability for occasional international travel (within Europe and overseas) for several weeks at a time.
If this sounds of interest, please reach out to
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