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Digital Twin Engineer Jobs in Reston, VA (NOW HIRING)

Job Summary As a Systems Engineer II focused on a Vehicle Digital Twin, you will be at the forefront of developing a connected, data-driven representation of our vehicle using NVIDIA Omniverse. In ...

Mechanical Engineer - Digital Twin (Diesel Generators) Overview We are seeking a highly skilled Mechanical Engineer with deep expertise in diesel generators and digital twin modeling to support ...

This position will serve as the Assessment & Authorization (A&A) authority for the NGA MC&G CPSTN Digital Twin Pilot effort. You will work closely with the Technical Program Manager (TPM) and DevOps ...

Security Engineer

Springfield, VA · On-site

$150K - $268K/yr

This position will serve as the Assessment & Authorization (A&A) authority for the NGA MC&G CPSTN Digital Twin Pilot effort. You will work closely with the Technical Program Manager (TPM) and DevOps ...

Controls Engineer

Reston, VA · On-site

$88K - $114K/yr

Create detailed electrical and mechanical models to support digital twin development of ... Engineering-Based Intelligence Analysis * Analyze intelligence reports, facility blueprints ...

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Showing results 1-20

Digital Twin Engineer information

See Reston, VA salary details

$83.9K

$145.3K

$190.2K

How much do digital twin engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for digital twin engineer in Reston, VA is $145,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,700.00 and $141,700.00 per year, depending on experience, location, and employer.

What is a digital twin engineer?

A Digital Twin Engineer is a professional who designs, develops, and maintains digital replicas of physical assets, systems, or processes. These virtual models use real-time data to simulate, predict, and optimize performance, allowing organizations to improve efficiency, detect problems early, and make data-driven decisions. Digital Twin Engineers typically work in industries such as manufacturing, energy, automotive, and smart cities, leveraging technologies like IoT, AI, and simulation software to create and manage digital twins.

What are the key skills and qualifications needed to thrive as a digital twin engineer?

To thrive as a Digital Twin Engineer, you need a strong background in systems engineering, data modeling, simulation, and a relevant engineering or computer science degree. Familiarity with digital twin platforms (such as Siemens NX, ANSYS Twin Builder), IoT frameworks, and programming languages like Python or MATLAB is typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex technical concepts clearly are crucial soft skills. These competencies enable effective design, monitoring, and optimization of virtual models, ensuring accurate real-time insights for operational decision-making.

What are some common challenges digital twin engineers face when integrating real-time data from physical assets?

Digital Twin Engineers often encounter challenges related to data quality, connectivity, and system interoperability when integrating real-time data from physical assets. Ensuring that sensors and IoT devices reliably provide accurate, timely data can be complex, especially in large-scale or legacy environments. Additionally, aligning data formats and protocols between various systems requires strong problem-solving and collaboration with IT and operations teams. Overcoming these hurdles is crucial for building effective digital twins that deliver actionable insights.

What is the difference between Digital Twin Engineer vs Data Engineer?

AspectDigital Twin EngineerData Engineer
Required CredentialsBachelor's in Engineering, Computer Science, or related fields; knowledge of IoT, simulation, and modelingBachelor's in Computer Science, Data Science, or related fields; expertise in databases, ETL, and data pipelines
Work EnvironmentIndustrial settings, manufacturing, IoT platforms, simulation labsData centers, cloud platforms, analytics teams, software development environments
Employer & Industry UsageManufacturing, aerospace, energy, smart citiesTech companies, finance, healthcare, e-commerce

The Digital Twin Engineer focuses on creating virtual replicas of physical assets for simulation and monitoring, often working in industrial environments. In contrast, Data Engineers build and maintain data pipelines and infrastructure to support data analysis across various industries. While both roles require technical skills, their applications and environments differ significantly.

What are popular job titles related to Digital Twin Engineer jobs in Reston, VA?

For Digital Twin Engineer jobs in Reston, VA, the most frequently searched job titles are:

What cities near Reston, VA are hiring for Digital Twin Engineer jobs?

Cities near Reston, VA with the most Digital Twin Engineer job openings:

Infographic showing various Digital Twin Engineer job openings in Reston, VA as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $144,992 per year, or $69.7 per hour.

Digital Twin Engineering Team Lead

Ashburn, VA

Blue Star Families
Non-Profits • 1 - 10 employees

$104K - $138K/yr

Full-time

Posted 25 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.