Digital Twin Engineering Team Lead

Business Unit:

Cubic Defense

Company 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.