Mid-Level Model Based Systems Engineer

PMAT • Denver, CO

4d • $80,000 - $100,000

About The Position

PMAT is seeking an experienced mid-level Model-Based Systems Engineer to support enterprise architecture development, digital engineering, and system-of-systems integration across Navy operational and technical environments. The role helps establish and maintain standardized architecture development processes, governance frameworks, data structures, and modeling practices that support consistent engineering and informed decision-making. The engineer works with systems and mission engineers, cybersecurity personnel, data engineers, and Palantir developers to connect architectural models, operational data, and engineering artifacts in digital environments. The position applies systems engineering and model-based methodologies to translate operational requirements into structured architectures, data models, and actionable engineering insights supporting capability development, integration, and sustainment.

The engineer develops and maintains system architectures, requirements, models, interface definitions, technical baselines, and engineering documentation. The role supports analysis, simulation, integration, verification and validation, digital engineering practices, and technical reviews. The position also contributes to model governance and configuration control, communicates engineering recommendations to stakeholders and program leadership, and provides technical guidance to junior engineers.

The role supports defense and national security missions. U.S. citizenship and a SECRET clearance are required; dual citizenship is not permitted. Denver, Colorado is preferred. Washington, D.C., Virginia, and Maryland are listed as remote locations. Work may take place in PMAT offices or, when needed, a government facility. Travel is 15% CONUS and OCONUS for customer engagement, team coordination, and potentially business development.

Requirements

• 2–5 years of professional systems engineering experience.
• At least 4 years of hands-on MBSE experience using SysML or equivalent modeling methodologies.
• Experience developing, maintaining, and analyzing system or SoS architectures, requirements, interfaces, operational workflows, and technical dependencies.
• Understanding of architecture development processes, governance practices, modeling standards, configuration management, and engineering lifecycle management.
• Experience developing or supporting data models, data dictionaries, information architectures, metadata definitions, or structured engineering data repositories.
• Experience integrating engineering models, technical data, requirements, and system information across multiple disciplines, platforms, or organizational environments.
• Understanding of digital thread concepts and connected engineering information for requirements traceability, system integration, and lifecycle decision-making.
• Experience collaborating with systems engineers, mission engineers, software developers, cybersecurity personnel, data engineers, and other technical stakeholders.
• Understanding of cybersecurity principles, risk management, security requirements, and their application within systems engineering and acquisition processes.
• Strong analytical and problem-solving skills, including evaluating complex system relationships, identifying architectural gaps, and developing engineering recommendations.
• Strong written and verbal communication skills, including technical documentation and presenting engineering findings to technical and program leadership.
• Bachelor's degree in Systems Engineering, Aerospace Engineering, a related technical discipline, or equivalent experience.
• U.S. citizenship required; no dual citizenship.
• SECRET security clearance required.

Nice To Haves

• Experience with MagicDraw, Cameo Systems Modeler, Sparx Enterprise Architect, IBM Rational Rhapsody, System Architect, or similar MBSE and enterprise architecture platforms.
• Experience with SysML, DoDAF, UAF, or other architecture modeling standards and methodologies.
• Familiarity with ISO/IEC/IEEE 15288 and INCOSE systems engineering principles.
• Experience establishing enterprise architecture governance, standardized modeling processes, reusable architecture components, model repositories, or organizational digital engineering practices.
• Experience developing enterprise data dictionaries, ontologies, data schemas, authoritative data source mappings, or semantic models supporting operational analysis and system interoperability.
• Experience supporting Navy, NAVWAR, NIWC, Naval Operational Architecture, Department of War, or other government systems engineering and acquisition environments.
• Experience supporting RMF, SETRs, cybersecurity readiness assessments, cyber risk-to-mission evaluations, or security requirements throughout the acquisition lifecycle.
• Experience evaluating SoS cybersecurity architectures, defense-in-depth strategies, common and inheritable security controls, or cybersecurity risks associated with enterprise architecture development.
• Experience developing architecture products, technical analyses, engineering reports, and recommendations supporting IPTs, SETRs, PTRBs, CCBs, or other technical review and governance processes.
• Experience supporting RDT&E, acquisition planning, system modernization, capability integration, or enterprise architecture transformation initiatives.
• Relevant OMG SysML certification, including OMG SysML Model User, OMG SysML Model Builder – Fundamental, or OMG SysML Model Builder – Intermediate.
• INCOSE ASEP or CSEP certification, or progress toward certification.
• TS/SCI eligibility.

Responsibilities

• Apply systems engineering principles and lifecycle processes consistent with ISO/IEC/IEEE 15288 and industry best practices.
• Develop and maintain system architectures, functional decompositions, technical baselines, and engineering specifications.
• Translate stakeholder and mission needs into system requirements, functional architectures, and technical solutions.
• Develop and maintain system models using MBSE tools and SysML or applicable architecture frameworks.
• Develop and maintain engineering documentation, including SRS, SEMP, ICDs, and CONOPS.
• Support requirements development, analysis, decomposition, allocation, validation, and change management.
• Maintain bidirectional traceability among stakeholder needs, system requirements, architecture elements, interfaces, and verification artifacts.
• Develop measurable, testable, and verifiable system and subsystem requirements; maintain RVTMs and assess technical impacts of requirements changes.
• Support requirements reviews and technical baseline management.
• Create functional, behavioral, structural, and parametric models to support engineering analysis, design decisions, and operational scenarios.
• Apply MBSE to support trade studies, simulation, design alternatives, and technical risk assessments.
• Support definition and evaluation of KPPs, MOPs, MOEs, and TPMs; integrate system models with simulation and engineering analysis tools.
• Keep models aligned with approved requirements, architectures, and technical baselines.
• Support system integration planning, interface definition, and interoperability assessments; develop and maintain interface requirements, definitions, and ICDs.
• Collaborate with software, hardware, cybersecurity, and integration teams to identify and resolve technical dependencies.
• Support verification and validation planning, test procedures, acceptance criteria, system performance assessments, integration events, and technical reviews.
• Use system models to identify integration risks, evaluate system behavior, and support verification activities.
• Support Digital Engineering methodologies, modeling standards, and best practices.
• Maintain model configuration control, version management, technical baseline integrity, and digital traceability across models and lifecycle artifacts.
• Support integration among MBSE tools, requirements repositories, simulation environments, and configuration management systems.
• Identify opportunities to improve engineering efficiency, model reuse, data consistency, and collaboration; contribute to authoritative engineering models and data.
• Collaborate with multidisciplinary teams to develop, assess, and refine system solutions.
• Participate in TIMs, design and engineering reviews, and program planning activities.
• Communicate technical findings, architecture decisions, modeling results, and engineering recommendations to stakeholders and program leadership.
• Support technical risk identification, assessment, mitigation planning, and engineering trade studies.
• Independently execute assigned engineering tasks while coordinating with technical leads and program management.
• Provide technical guidance to junior engineers and contribute to engineering documentation, deliverables, and program reporting.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level