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PLC Software Architect

Job in Town of Italy, Penn Yan, Yates County, New York, 14527, USA
Listing for: microTECH Global Limited
Full Time, Contract position
Listed on 2026-05-21
Job specializations:
  • Software Development
    AI Engineer, Software Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Location: Town of Italy

Work Location: Pisa, Italy

Contract Type: Full-time, On-site

Responsibilities
  • Drive the technological evolution of proprietary MBD tool chains 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:

    • Expertise in model-driven engineering: model-to-text, text-to-model, and model-to-model transformations.
    • Deep knowledge of code generation for embedded devices (e.g.,
      XText, Acceleo
      , Model-Intermediate representations) and code optimization techniques.
    • Familiarity with modeling languages and frameworks:
      UML, Simulink/Stateflow
      , and Eclipse Modeling Framework (EMF).
    • Experience with MIL/SIL (Model/Software-in-the-loop) simulation environments.
    • Proven ability to solve complex optimization problems (e.g.,
      MILP
      , Simulated Annealing, Genetic Algorithms).
  • AI & ML Expertise:
    • Hands-on experience with AI frameworks:
      Tensor Flow, PyTorch, CUDA, Lang Chain, or Docling
      .
    • Practical experience in Prompt Engineering
      , Fine-tuning, Reinforcement Learning, and Model Quantization.
    • 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.
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