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Senior Principal Digital Engineer

United States, Monroeville, Pennsylvania · Job Posted March 20, 2026
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Job Description

We are seeking a highly experienced Senior Principal Digital Engineer to join our team supporting the modernization of Digital Engineering (DE) and Model-Based Systems Engineering (MBSE) for Naval Nuclear Laboratory (NNL) programs in either the Albany, NY OR the West Mifflin PA area. This role will focus on implementing cutting-edge MBSE processes, advancing Digital Threads, integrating Artificial Intelligence/Machine Learning (AI/ML) methodologies, and modernizing engineering and operational processes across a large organization. The ideal candidate will be a technical leader with deep expertise in systems engineering, hands-on application of digital transformation, and organizational change.

Job Responsibility

  • Creation and Maintenance of a Digital Thread: Design, implement, and sustain a cohesive Digital Thread framework to integrate tools, data, and models across system lifecycles
  • Ensure seamless data flow across domains and stakeholders to enable traceability, collaboration, and decision-making
  • Development of Systems Engineering and MBSE Processes: Establish and refine Model-Based Systems Engineering (MBSE) practices tailored to organizational goals and program needs
  • Develop standardized processes, workflows, and guidelines for implementing systems engineering and MBSE methodologies
  • Orchestrating Organizational Change: Lead efforts to foster the adoption of Digital Engineering and MBSE practices throughout the organization
  • Provide training, coaching, and ongoing support to teams, bridging gaps in technical knowledge and overcoming resistance to change

Requirements

  • Master’s Degree in technical or scientific field with at least 8 years of recent and relevant Digital Engineering/Systems Engineering experience OR Bachelor’s Degree in technical or scientific field with at least 10 years of recent and relevant Digital Engineering/Systems Engineering experience
  • At least 3 years of DoW/DOE experience
  • Demonstrated experience in a relevant area of engineering
  • Demonstrated understanding of the concept of Digital Threads
  • Possess and maintain a DOE-L Clearance or higher OR a DoD/DoW Secret Clearance or higher

Nice to have

  • Model-Based Systems Engineering (MBSE) Experience: Demonstrated hands-on experience implementing MBSE methodologies in complex systems
  • Proficiency with Cameo Systems Modeler, MagicDraw, or similar MBSE environments
  • Experience creating and managing SysML/UML models for large-scale engineering projects
  • Knowledge of requirements management and traceability within model-based environments
  • Digital Thread Implementation: Practical experience implementing Digital Thread frameworks in engineering organizations
  • Hands-on expertise with Syndeia, eQube, or similar Digital Thread tools
  • Experience connecting disparate engineering tools and databases into a unified information flow
  • Knowledge of configuration management practices for model and data integration
  • Digital Engineering/MBSE Patterns: Understanding of Digital Engineering Strategy principles and implementation frameworks
  • Knowledge of MBSE patterns, anti-patterns, and best practices for complex systems
  • Experience with digital artifacts management and model validation techniques
  • Familiarity with digital transformation roadmaps for large engineering organizations
  • Software Development & Automation: Experience with scripting languages (Python, JavaScript, etc.) for engineering automation
  • Knowledge of API integration for connecting engineering tools and platforms
  • Experience developing custom plugins or extensions for MBSE tools
  • Background in software development methodologies (Agile, DevOps) applied to systems engineering
  • Experience with version control systems (Git, SVN) for managing engineering artifacts
  • Advanced Technical Skills: Proficiency with database technologies and query languages for engineering data management
  • Experience with cloud platforms for hosting engineering tools and models
  • Knowledge of AI/ML integration within engineering workflows and decision support
  • Experience with visualization techniques for complex engineering data and relationships
  • Project Implementation Experience: History of successfully implementing MBSE/DE frameworks in large organizations
  • Experience developing training programs and materials for digital engineering adoption
  • Track record of overcoming organizational resistance to new engineering methodologies
  • Experience managing the transition from document-based to model-based processes
  • Domain Knowledge: Familiarity with Naval Nuclear Laboratory programs, systems, or similar complex domains
  • Understanding of systems engineering processes in regulated environments
  • Experience with Department of Energy (DOE) or Department of Defense (DoD) programs

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