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Digital Twin Simulation Model Jobs (NOW HIRING)

InfoVision, Inc.

Simulation Engineer

Irving, TX · On-site

Simulation Engineer, Irving, TX As a Simulation Engineer for the Digital Twin platform, you will be responsible for building various simulation models (Digital Twins), which will enable businesses to ...

North Wind

$100 - $160/hr

Experience with real time digital twin / simulation software integration environments (e.g., Ansys, Dassault, and Siemens digital twin products) * Strong programming skills for modeling and analysis ...

Koitecc Solutions

Digital Engineer

Beavercreek, OH · On-site

$110 - $170/hr

Apply systems engineering, systems modeling, product lifecycle management, and related techniques ... Experience with digital thread, digital twin, simulation environments, and enterprise-level data ...

DLB Associates

Co-Simulation Engineer III

$104K - $130K/yr

Co-Simulation Engineer III Position Location: Remote - work virtually from most locations in the ... network models, CFD models, digital twin applications, and QC design specifications through ...

InfoVision, Inc.

Simulation engineer

Irving, TX · On-site

Experience * 5+ years experience in designing and developing enterprise level digital twin modeling, simulation, optimization solutions * 3+ years with System dynamics, Discrete events and Agent ...

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Digital Twin Simulation Model information

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$39K

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$144K

How much do digital twin simulation model jobs pay per year?

As of Sep 6, 2026, the average yearly pay for digital twin simulation model in the United States is $101,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is a digital twin simulation model?

A Digital Twin Simulation Model is a virtual representation of a physical object, process, or system that is used to simulate, predict, and optimize its real-world counterpart. By using real-time data and advanced analytics, digital twins help organizations monitor performance, detect issues, and test scenarios without impacting actual operations. These models are widely used in industries such as manufacturing, healthcare, and smart cities to improve efficiency, reduce costs, and enable better decision-making.

What are common challenges faced when developing digital twin simulation models, and how can they be addressed?

One common challenge in developing digital twin simulation models is ensuring accurate data integration from various sources, which is crucial for creating realistic and actionable simulations. Team members often need to collaborate closely with engineers, IT specialists, and data analysts to validate and synchronize real-world and simulated data. Addressing these challenges requires strong communication skills, familiarity with integration tools, and a proactive approach to troubleshooting discrepancies. Additionally, keeping up with rapidly evolving technologies in simulation software and IoT devices is essential for maintaining effective and up-to-date models.

What are the key skills and qualifications needed to thrive as a digital twin simulation modeler, and why are they important?

To thrive as a Digital Twin Simulation Modeler, you need a solid background in engineering, computer science, or data science, along with experience in simulation modeling and systems analysis. Familiarity with tools like MATLAB, Simulink, Python, and specialized digital twin platforms (such as Siemens NX or PTC ThingWorx), plus relevant certifications, is often expected. Strong problem-solving abilities, communication, and collaboration skills help in translating real-world processes into accurate virtual models and working with cross-functional teams. These capabilities are crucial to create effective, scalable, and reliable digital twins that drive innovation and operational efficiency.

What is the difference between Digital Twin Simulation Model vs Data Analyst?

AspectDigital Twin Simulation ModelData Analyst
Required CredentialsEngineering, Computer Science, or related technical degrees; certifications in simulation or modelingStatistics, Data Science, or related degrees; certifications in data analysis tools
Work EnvironmentIndustrial, manufacturing, or engineering settings; using simulation softwareOffice or remote; analyzing datasets and creating reports
Industry UsageManufacturing, aerospace, energy, and infrastructureFinance, marketing, healthcare, and technology sectors
Search & Comparison IntentUnderstanding simulation modeling for system optimizationAnalyzing data trends and insights

The Digital Twin Simulation Model focuses on creating virtual replicas of physical systems for testing and optimization, often requiring engineering expertise. In contrast, Data Analysts interpret data to inform business decisions, typically using statistical tools. While both roles involve data and modeling, their applications and environments differ significantly.

More about Digital Twin Simulation Model jobs

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Cities with the most Digital Twin Simulation Model job openings:

What states have the most Digital Twin Simulation Model jobs?

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Digital Twin Simulation Model jobs near you
Infographic showing various Digital Twin Simulation Model job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $101,255 per year, or $48.7 per hour.

Simulation Engineer

InfoVision, Inc.

Irving, TX • On-site

Other

Re-posted 6 days ago

Job description

Simulation Engineer, Irving, TX

As a Simulation Engineer for the Digital Twin platform, you will be responsible for building various simulation models (Digital Twins), which will enable businesses to conduct many what-if ' scenarios pertaining to a given use case/strategy.

Experience

  • 5+ years of experience in designing and developing enterprise-level digital twin modeling, simulation, and optimization solutions
  • 3+ years with System dynamics, Discrete events and Agent based modeling using tools such as AnyLogic
  • MS or BS in Computer Science, Math, Physics, Information Science, Engineering or other related field

Skill

  • Experience in digital twin modeling, simulation, optimization using anylogic Matlab etc
  • Experience/ familiarity in building and engineering digital twins solutions with simulation techniques
  • Knowledge of Artificial Intelligence and machine learning (AI/ML) techniques
  • Experience in data driven approach to analyze problems and deliver robust, optimized solutions
  • Experience with various database technologies like RDBMS, Big Data technologies
  • Experience with Java, Python, C+
  • Experience working with BI tools like Tableau, Looker, Qlik, etc.
  • Experience in building, hosting applications in Google Cloud Platform kubernetes is a plus
  • Familiarity with IoT understanding from connectivity and data management perspective
  • Knowledge of architecting and managing end to end solutions and perform root cause analysis

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