Digital Engineer – MBSE Analyst

• Help lead technical planning and execution of digital-twin efforts in support of program objectives
• Support development of digital-twin concepts, architectures, use cases, and technical roadmaps with engineering and program teams
• Assist in adapting Peraton Labs’ agentic AI and digital-twin capabilities to program-specific needs
• Define component-level requirements derived from operational needs, systems-engineering objectives, system behaviors, and stakeholder priorities
• Ensure compliance with model-interoperability approaches, data-exchange patterns, fidelity expectations, and integration guidance across digital-twin and simulation environments
• Work with data, AI/ML, software, and systems-engineering teams to identify and integrate data sources, dependencies, model inputs and outputs, assumptions, and validation methods
• Identify technical risks, dependencies, sequencing concerns, integration challenges, and capability gaps associated with digital-twin development
• Keep digital-twin efforts aligned with program objectives, MBSE practices, CTO advanced-analytics initiatives, and stakeholder needs

• Associate's degree and 7+ years of experience in a Systems Engineering related field; OR bachelor's degree in Computer Science, Computer Engineering, Cloud Computing, or related field and 5+ years of experience in a Systems Engineering related field; OR master's degree in Computer Science, Computer Engineering, Cloud Computing, or related field and 3+ years of experience in a systems engineering related field
• Additional four (4) years of relevant experience will be considered in lieu of a degree
• Minimum of Top Secret clearance with ability to upgrade to TS/SCI; must maintain the clearance
• 2+ years of experience applying MBSE in complex system environments
• Experience developing and supporting systems-engineering processes across the full system lifecycle, including analysis, planning, design, development, deployment, integration, testing, or configuration of software
• Expertise using the Cameo Systems Modeler suite of tools
• Experience with MBSE validation suites
• Experience generating documents or specifications directly from MBSE models
• Experience with MBSE model federation
• Experience developing MBSE style guides or modeling standards

Demonstrates expertise in Systems Engineering with a focus on Model-Based Systems Engineering (MBSE) practices, digital-twin development, and integration of AI/ML capabilities. Proven ability to lead technical planning, ensure compliance with interoperability standards, and align efforts with program objectives.

• Model-Based Systems Engineering (MBSE)
• Digital-Twin Development
• Cameo Systems Modeler
• Systems Engineering Lifecycle
• Top Secret Clearance

• Systems Engineering
• Digital-Twin Concepts
• Technical Roadmaps
• Data Integration
• Requirements Definition
• Model Validation
• Specification Generation
• Model Federation
• Fidelity Expectations
• Integration Guidance

• Top Secret Clearance

• Model Interoperability
• Data Exchange Patterns
• Stakeholder Priorities
• Technical Risks
• System Behaviors

• Cameo Systems Modeler Suite
• MBSE Validation Suites