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Hexagon SPI / SPEL Administrator (Remote Eligible)
GE Vernova · Boston, MA
Publicada em 13/06/2026
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Job Description SummaryGE Hitachi is a leading designer of nuclear power plants, specializing in the development of the BWRX-300 Small Modular Reactor (SMR) for global deployment through large-scale capital projects. We are committed to excellence, innovation, and sustainability, fostering a collaborative team culture. We are currently seeking a highly motivated and experienced Hexagon Senior SPI / SPEL Administrator to join our dynamic team.The Hexagon Senior SPI / SPEL Administrator will be responsible for managing and maintaining the SmartPlant Instrumentation (SPI) and SmartPlant Electrical (SPEL) systems, ensuring optimal performance and integration with other engineering tools. This role involves collaborating with various departments and customers to support instrumentation & electrical design and data management processes.Job DescriptionEssential ResponsibilitiesAdminister and maintain the Hexagon SPI / SPEL systems, including user access, system configuration, and troubleshooting.Lead the integration efforts for SPI / SPEL with other engineering design tools and systems by engaging engineering and customer stakeholders.Develop and implement SPI / SPEL workflows and procedures to enhance efficiency and data accuracy.Develop and deliver training to SPI / SPEL users.Perform regular system audits and updates to ensure compliance with industry standards and best practices.Generate and analyze reports from SPI / SPEL to support project management and decision-making.Stay updated on latest SPI / SPEL features and advancements to continuously improve system utilization.Support the team with the initial project setup in accordance with internal, industry and client standards and ensuring these standards are maintained throughout the project lifecycle.Ensuring information management protocols and standards are adhered to.Liaise with project stakeholders and partners in terms of their role within the BIM process.Creation and maintenance of federated models through
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