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Digital Twin Simulation Model Jobs (NOW HIRING)

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 ...

Branex Group

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Industrial Engineer

Warren, MI · On-site

$35 - $50/hr

Digital Twin & Simulation Support * Develop and update Discrete Event Simulation (DES) models representing manufacturing operations and throughput. * Support the development of digital twin models ...

New

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 ...

TechData Service Company LLC

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Remote Digital Twin Engineer (Simio)

Raritan, NJ · Remote

$40 - $45/hr

... Digital Twin Engineer We are seeking a Simulation Scientist with at least 3 years of experience ... event simulation models that support operational decision-making, process optimization, and ...

New

Actalent

Controls Simulation Engineer

Warren, MI · Hybrid

$45 - $50/hr

Develop and update the Throughput Discrete Event Simulation (DES) Digital Twin model in line with current GA Manufacturing Operations design. * Monitor the DES Digital Twin performance, identify ...

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Digital Twin Simulation Model information

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$39K

$101.3K

$144K

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

As of Aug 16, 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 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 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 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.

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.
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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 2% As Needed, 82% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $101,255 per year, or $48.7 per hour.

Digital Twin Engineering Team Lead

Blue Star Families

Ashburn, VA

$104K - $138K/yr

Full-time

Posted 10 days ago

Job description

Business Unit:Cubic DefenseCompany Details:When you join Cubic, you become part of a company that creates and delivers technology solutions in transportation to make people's lives easier by simplifying their daily journeys, and defense capabilities to help promote mission success and safety for those who serve their nation. Led by our talented teams around the world, Cubic is committed to solving global issues through innovation and service to our customers and partners.
We have a top-tier portfolio of businesses, including Cubic Transportation Systems (CTS) and Cubic Defense (CD). Explore more on Cubic.com.Job Details:

Job Summary

The Digital Twin Engineering Lead provides technical leadership for the design, development, integration, and sustainment of enterprise Digital Twin capabilities supporting Department of Defense (DoD) Intelligence, Surveillance, and Reconnaissance (ISR) mission systems. The incumbent leads a multidisciplinary engineering team responsible for developing and maintaining Digital Twin capabilities that support systems engineering, modeling and simulation, cyber resilience, mission rehearsal, technology evaluation, engineering validation, and operational decision-making.

Working closely with Program Management, Systems Engineering, Cybersecurity, Software Development, Cloud Engineering, DevSecOps, and Government stakeholders, the Digital Twin Engineering Lead develops and executes the Digital Twin roadmap while ensuring alignment with mission objectives, engineering standards, cybersecurity requirements, and program priorities.

This position combines technical leadership with hands-on engineering execution and customer engagement to deliver innovative Digital Twin capabilities supporting mission-critical DoD operations.

Applicants must possess an active DoD Secret security clearance with the ability to obtain and maintain a Top Secret/Sensitive Compartmented Information (TS/SCI) clearance.

Major Responsibilities

  • Lead the design, development, integration, and sustainment of enterprise Digital Twin capabilities supporting globally distributed DoD mission systems.
  • Lead a multidisciplinary engineering team responsible for Digital Twin architecture, modeling, simulation, visualization, and systems integration.
  • Develop and maintain the Digital Twin technical roadmap, implementation strategy, and engineering standards.
  • Design Digital Twin environments that accurately represent enterprise infrastructure, networks, applications, cloud services, cybersecurity posture, and operational workflows.
  • Develop Digital Twin capabilities supporting systems engineering, mission planning, cyber terrain visualization, vulnerability assessments, penetration testing, resiliency analysis, technology insertion, and engineering validation.
  • Integrate operational telemetry, monitoring, cybersecurity, and infrastructure data into Digital Twin environments.
  • Ensure Digital Twin models remain synchronized with production architectures, engineering baselines, and configuration management processes.
  • Support cyber testing, engineering experimentation, security validation, and resiliency assessments using Digital Twin environments.
  • Coordinate software development, systems engineering, cloud engineering, DevSecOps, and cybersecurity activities supporting Digital Twin initiatives.
  • Develop technical documentation, architecture diagrams, engineering standards, implementation plans, and operating procedures.
  • Present technical briefings, demonstrations, and recommendations to Government customers and program leadership.
  • Support proposal development, technical solutioning, BOEs, ROMs, customer demonstrations, and strategic technology planning.
  • Mentor engineers and promote engineering innovation and best practices.

Required Qualifications

  • Bachelor's degree in Computer Science, Systems Engineering, Software Engineering, Information Systems, Cybersecurity, or related technical discipline (or equivalent experience).
  • Active DoD Secret clearance with the ability to obtain and maintain a Top Secret/SCI clearance.
  • Minimum of 8 years supporting enterprise systems engineering, Digital Engineering, software engineering, enterprise architecture, or cloud infrastructure.
  • Minimum of 3 years serving as a technical lead or leading multidisciplinary engineering efforts.
  • Experience designing or supporting Digital Twin, Modeling & Simulation (M&S), enterprise architecture, or complex systems engineering solutions.
  • Experience supporting enterprise cloud environments, virtualization, networking, storage, and modern software architectures.
  • Strong understanding of systems engineering, enterprise architecture, and configuration management principles.
  • Excellent written, verbal, presentation, and customer engagement skills.

Preferred Qualifications

  • Experience supporting DISA, NGA, SOCOM, Combatant Commands, or other DoD ISR programs.
  • Experience designing, developing, or supporting Digital Twin, Modeling & Simulation (M&S), or Digital Engineering solutions.
  • Experience with Digital Twin platforms such as NVIDIA Omniverse, Azure Digital Twins, Unreal Engine, Unity, Cesium, OpenUSD, Siemens Xcelerator, or similar technologies.
  • Experience with Kubernetes, Docker, VMware, AWS, Azure, GovCloud, Infrastructure as Code (IaC), and DevSecOps.
  • Experience supporting cybersecurity engineering, cyber operations, cyber ranges, penetration testing, vulnerability assessments, defensive cyber operations, or cyber resiliency initiatives.
  • Familiarity with RMF, NIST Cybersecurity Framework, NIST SP 800-53, DISA STIGs, Zero Trust architectures, and enterprise vulnerability management.
  • Experience integrating cybersecurity telemetry, SIEM platforms, ACAS/Tenable data, or security monitoring tools into enterprise engineering environments.
  • Experience with AI/ML, predictive analytics, and data engineering.
  • Experience with Model-Based Systems Engineering (MBSE) using SysML, Cameo, MagicDraw, Sparx EA, or similar tools.
  • Knowledge of ISR architectures, Full Motion Video (FMV), Cross Domain Solutions (CDS), enterprise networking, and mission systems.

Desired Competencies

The ideal candidate will demonstrate:

  • Strong systems engineering, Digital Twin, and enterprise architecture expertise.
  • Working knowledge of cybersecurity principles and their integration into Digital Twin and enterprise engineering solutions.
  • Ability to lead technical teams while remaining actively engaged in engineering execution.
  • Excellent analytical, problem-solving, and critical-thinking skills.
  • Strong organizational, planning, and project management abilities.
  • Excellent written, verbal, and presentation skills with the ability to communicate effectively with Government customers and technical teams.
  • Innovative mindset with a passion for digital engineering, automation, and continuous improvement.
  • Ability to work independently while collaborating effectively across multidisciplinary engineering organizations.

Technical Competencies

Experience with one or more of the following is desirable:

  • Digital Twin platforms and Modeling & Simulation (M&S)
  • Systems Engineering and Model-Based Systems Engineering (MBSE)
  • Cybersecurity engineering, vulnerability assessment, and cyber resilience
  • Cloud infrastructure, virtualization, Kubernetes, and DevSecOps
  • AI/ML, automation, and data integration
  • Enterprise networking, storage, and Cross Domain Solutions (CDS)
  • Programming and scripting (e.g., Python, C#, Java, PowerShell, or Bash)

Cubic Pay Range:

$202,000.00 - $220,000.00 + benefits.

The Cubic pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Worker Type:Employee

We are committed to creating an inclusive workplace and welcome applications from people of all backgrounds. We do not discriminate based on any protected characteristic under applicable law.

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