Sensor & Embedded Software Engineer — Wind Turbine Diagnostics

Vestas

Leça do Balio

Presencial

EUR 60 000 - 75 000

Tempo integral

Há 5 dias
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Resumo da oferta

Vestas is seeking a software engineer for the Advanced Sensing & Diagnostics sub module within the Turbine Control Software. The role focuses on delivering reliable turbine-related software within an agile framework, guiding technical results, and developing advanced algorithms for smart sensing and diagnostics.

We require a Master’s degree in a related engineering field and 4+ years in embedded software and data analytics, including C++ and Matlab/Simulink, with experience in sensor engineering

Qualificações

  • Master's degree in software/engineering field and relevant background.
  • 4+ years' experience in embedded software and data analytics.
  • Experience in sensor engineering and managing project sub-tasks.
  • Strong grasp of turbine physics and data analytics for large datasets.

Responsabilidades

  • Deliver technical and turbine projects reliably within an agile framework, managing your assigned tasks from initial concept through deployment.
  • Guide critical technical results while helping the team streamline operations and adopt effective best practices.
  • Design and develop advanced algorithms and embedded software for smart sensing and diagnostics solutions.
  • Conduct complex root cause analysis (RCA) to pinpoint potential turbine performance issues and sensor data anomalies.
  • Help shape and improve functional and non-functional software requirements for turbine control systems.
  • Participate in the advancement of internal processes, software frameworks, and engineering tools to improve how we work.

Conhecimentos

Embedded software
Data analytics
C++
Matlab/Simulink
Sensor engineering
Turbine physics understanding

Formação académica

Master's degree in Software Engineering, Control Engineering, Electrical Engineering or similar

Descrição da oferta de emprego

Vestas is seeking a software engineer for the Advanced Sensing & Diagnostics sub module within the Turbine Control Software. The role focuses on delivering reliable turbine-related software within an agile framework, guiding technical results, and developing advanced algorithms for smart sensing and diagnostics.

We require a Master’s degree in a related engineering field and 4+ years in embedded software and data analytics, including C++ and Matlab/Simulink, with experience in sensor engineering

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