Cloud Digital Twin Architect for Smart Manufacturing

Siemens Energy; Gibsonton (FL); On-site; USD 110,000 - 180,000; Full time

Benefits offered by this job

Career growth opportunities

Supportive work culture

Company paid health and wellness

Paid time off and holidays

401K with company match

Family building benefits

Parental leave

Job summary

Siemens Energy invites a Factory Digital Twin Developer to design cloud-native digital twin solutions for the Tampa facility, integrating real‑time IoT data and PLC/SCADA inputs into Plant Simulation models.

You will collaborate with manufacturing, automation, and data science teams to enable predictive analytics, create scalable architectures, and ensure secure cloud-based deployments while maintaining data quality and governance.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Industrial Engineering, Mechatronics, or related field.
• 5+ years of cloud architecture and digital twin development experience in manufacturing.
• Proficiency in Plant Simulation (PlantSim) or similar discrete event simulation tools.
• Strong programming and engineering fundamentals: Python, SQL, automation, APIs.
• Experience with cloud platforms (AWS preferred).
• Familiarity with IoT protocols (MQTT, OPC UA), edge computing, and industrial connectivity.
• Export license requirement from US authorities may apply; authorization to work in the United States without sponsorship.
• Applicants must be legally authorized for employment in the United States without current or future sponsorship.

Responsibilities

• Develop and maintain digital twin models using Siemens Plant Simulation or equivalent tools.
• Develop APIs and data pipelines to connect digital twins with ERP, MES, CMMS; integrate real-time sensor/PLC/SCADA/MES data into simulations.
• 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, 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 datasets used in AI training and analytics.
• Collaborate with IT and OT to manage cloud and on‑premise infrastructure for AI development and deployment.

Skills

Python

SQL

Automation

APIs

IoT protocols

Education

Bachelor's or Master's in Computer Science or related field

Tools

Plant Simulation (PlantSim)

AWS

MQTT

OPC UA

Job description

Siemens Energy invites a Factory Digital Twin Developer to design cloud-native digital twin solutions for the Tampa facility, integrating real‑time IoT data and PLC/SCADA inputs into Plant Simulation models.

You will collaborate with manufacturing, automation, and data science teams to enable predictive analytics, create scalable architectures, and ensure secure cloud-based deployments while maintaining data quality and governance.