Automation and Control Engineer

2 settimane fa

San Donato Milanese MI, Italia Hyster-Yale Materials Handling Inc A tempo pieno

Job Title: Automation and Control Engineer Job Family: Testing Operations Job Description: Primary Duties and Responsibilities: Investigate novel Machine Learning techniques for Nuvera products Propose Machine Learning solutions for Nuvera applications Develop new algorithms and approaches for data-driven diagnostics & prognostics Develop new algorithms and approaches for hybrid physics-based and data-driven prognostics Manage Hardware and Software activities related to fuel cell test bench, data analysis and collection, digital interfaces Development embedded control systems with Matlab / Simulink / Stateflow for fuel cell products Develop embedded control systems with Matlab / Simulink / Stateflow, LabView and Python for lab test benches Customize and continuously improve existing control software Simulate and verify the control software developed Develop and verify Human Man Interface for lab applications Ensure robust EMC design of CAN devices and buses, troubleshooting activities Manage functional requirements for HW and SW Assure compliance of HW and SW control systems to relevant code and standards Manage relationship with suppliers to guarantee compliance with requirements Key/Technical Skills: Key/Technical Skills:

  • Understanding and familiarity with various Machine Learning algorithms
  • Understanding and familiarity with artificial neural networks methods
  • Experience with embedded control architectures and coding of complex systems
  • Problem-solving attitude, fond of new technologies
  • A self-starter passionate about building things from the ground up
  • Attitude to work in multi-cultural teams
  • Very good communication skills
Education and Experience: Education and Experience:
  • An excellent Master Science Degree (Ph.D. is a plus) in Engineering (Automation and Control, Electronics, Mechatronics) or equivalent
  • Knowledge of fuel cell diagnostics & prognostics techniques
  • Preferred 5-10 years of experience
  • Proficient knowledge of Python (Scikit-learn, Keras, Tensorflow or Pytorch)
  • Experience in control system development in Matlab/Simulink/Stateflow, LabView, and Python environment
  • Knowledge of embedded programming systems (C++ or equivalent)
  • Experience in software commissioning and testing activities on electronic components
  • Knowledge of communication protocols (CAN J1939 and Ethernet preferred)
  • Experience with control systems for automotive applications, hybrid vehicles, or electrical vehicles is considered a plus
  • Knowledge of standards related to control HW and SW applications such as ISO13489 and ISO26262, PL, SIL and ASIL, Ingress Protection, EMC, etc.
  • Knowledge of cloud computing services preferred
  • Fluent in English
Job ID: 0872 Employment Type: Full time Work Hours: 40 Travel Required: Yes Primary Location: HYG EMEA Italy San Donato Milanese 20097 Address Zip Code: 20097 Field-Based: No Relocation Assistance Available: No We are an equal opportunity employer with an excellent benefit package including medical, dental, and life insurance, 401(k), and profit sharing. EOE/Minorities/Females/Veterans/Disabled #J-18808-Ljbffr

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