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Factory Digital Twin Developer

Siemens Energy

Gibsonton, FLJobSeen 7mo agoSeen in employer's feed 2 days ago

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At a glance

Compensation
No compensation found
Location
Gibsonton, FL
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Siemens Energy seeks a Factory Digital Twin Developer to design cloud‑native digital twin solutions for its Tampa manufacturing facility. The role involves creating and maintaining simulation models, integrating real‑time IoT data, and enabling predictive analytics to boost operational efficiency and productivity. The professional will collaborate across manufacturing, automation, and data science teams while ensuring secure, scalable cloud infrastructure and data governance.

Skills & qualifications

RequiredNice to have

Skills

Siemens Plant SimulationPythonSQLAPIsCloud ArchitectureAWSMQTTOPC UAEdge ComputingIndustrial ConnectivityMachine LearningDigital Twin DevelopmentSimulation ModelingData Governance

Qualifications

Bachelor's or Master's Degree in Computer Science, Industrial Engineering, Mechatronics, or Related Field5+ Years Cloud Architecture and Digital Twin Development Experience in ManufacturingExport License RequiredLegal Authorization for Employment in United States

Benefits

Medical Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job description

A Snapshot of Your Day

As a Factory Digital Twin Developer at Siemens Energy, with expertise in Plant Simulation (PlantSim) and IoT integration, you will support the BVT (Blades & Vanes) Expansion project within the Operations Tampa manufacturing facility. The primary business objective is to leverage advanced automation and artificial intelligence to enhance operational efficiency, increase productivity, and support the growth of manufacturing capabilities. We are looking for a highly skilled professional to drive the development of scalable, cloud-based digital twin solutions for manufacturing environments. This role will focus on designing cloud-native architectures, integrating real-time IoT data, and building simulation models to optimize plant operations, improve throughput, and enable predictive analytics.

How You’ll Make an Impact

  • Develop and maintain digital twin models using Siemens Plant Simulation (PlantSim) or equivalent tools.

  • Develop APIs and data pipelines to connect digital twins with enterprise systems (ERP, MES, CMMS) while integrating real-time data from sensors, PLCs, SCADA, and MES systems into simulation environments

  • Collaborate with manufacturing, automation, and data science teams to model and simulate production lines.

  • Enable predictive and prescriptive analytics through simulation and machine learning integration.

  • Ensure secure, scalable, and high-performance cloud infrastructure for digital twin deployments.

  • Monitor system performance and continuously improve simulation accuracy and cloud efficiency.

  • Ensure data governance, quality, and integrity for all datasets used in AI training and operational analytics.

  • Collaborate with IT and OT teams to manage both cloud and on‑premise infrastructure supporting AI development and deployment.

What You Bring

  • Bachelor’s or Master’s degree in Computer Science, Industrial Engineering, Mechatronics, or related field.

  • 5+ years of experience in cloud architecture and digital twin development in manufacturing.

  • Proficiency in Siemens Plant Simulation (PlantSim) or similar discrete event simulation tools.

  • Strong technical capabilities in Python, SQL, automation, software engineering concepts, and integrating applications through APIs.

  • Strong experience with cloud platforms (AWS preferred).

  • Familiarity with IoT protocols (MQTT, OPC UA), edge computing, and industrial connectivity.

  • This position may require an export license from the Department of Commerce, Bureau of Industry and Security and/or the Department of State, Directorate of Defense Trade Controls. Issuance of any required license is a prerequisite for this position.

  • Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.

About the Team

Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

Rewards

  • Career growth and development opportunities

  • Supportive work culture

  • Company paid Health and wellness benefits

  • Paid Time Off and paid holidays

  • 401K savings plan with company match

  • Family building benefits

  • Parental leave

Jobs & Careers: https://jobs.siemens-energy.com/jobs

Equal Employment Opportunity Statement

Siemens Energy is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local

law.

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