MODEL BASED SYSTEM ENGINEER LEAD

Overview:

Quantum Research International, Inc. (Quantum) provides our national defense and federal civilian and industry customers with services and products in the following main areas: 1) Cybersecurity and Information Operations; 2) Space Operations and Control; 3) Aviation Systems; 4) Ground, Air and Missile Defense, and Fires Support Systems; 5) Intelligence Programs Support; 6) Experimentation and Test; 7) Program Management; and (8) Audio/Visual Technology Applications. Quantum's Corporate Office is located in Huntsville, AL, but Quantum actively hires for positions nationwide and internationally. We pride ourselves on providing high quality support to the U.S. Government and our Nation's Warfighters. In addition to our corporate office, we have physical locations in Colorado Springs, CO; Crestview, FL; Orlando , FL and Tupelo, MS.

Mission:

Quantum Research International is seeking a Model Based Systems Engineer (MBSE) with modeling experience to provide subject matter expert (SME)-level systems engineering support to the Portfolio Acquisition Executive (PAE) Fires Office of the Chief Engineer (OCE), weapon system Program Management Offices (PMOs), Programs of Record (PoRs), and Rapid Capability efforts. The MBSE Lead is responsible for driving the transition from traditional document-based systems engineering to domain-model environments, maintaining the health of secure modeling infrastructure, and delivering enterprise-wide MBSE training supporting PAE Fires, specifically OCE. The selected candidate will Lead functions as a consulting technical lead, enterprise systems administrator, and champion for digital engineering transformation. They must be comfortable explaining the business-case value of models to PAE leadership during a high-latency server migration.

Responsibilities:

• Plan, coordinate, and execute the migration of complex Teamwork Cloud (TWC) MBSE models and engineering databases (e.g., JIRA, Confluence) from external partners to enterprise DMZ servers.
• Troubleshoot and resolve critical network latency and data drop issues during high-volume server migrations.
• Administer and manage user access control, automated account request workflows, and DMZ Whitelisting for No Magic / MagicDraw / Cameo Enterprise Architecture suites. Establish and maintain Configuration Management and Data Management (CM/DM) protocols on secure DMZ TWC servers. Deploy, test, and evaluate major server software upgrades (e.g., evaluating MagicDraw 2026 TWC).
• Develop curricula for and facilitate large-scale technical training programs, including MBSE Fundamentals and intensive MBSE Boot Camps for multi-agency stakeholder groups (CPE IEWS, T2COM, EUCOM, US Air Force, etc.).Build automated training registration systems to scale onboarding.
• Onboard project teams (such as THAAD and Howitzer Paladin) into the shared MBSE environment. Coordinate complex requirements database transfers (e.g., migrating classified requirement datasets from DOORS to MagicDraw 2024 on secure research networks like SDREN).Coordinate intermediary model exchanges between Government Reference Architectures and vendor solution models.
• Evaluate architecture tools (e.g., MagicDraw) to capture and manage classified risk profiles down to the individual data-element level (security classification guides).
• Support data integrity governance when exporting risk/architecture metrics to business intelligence tools.

Required Skills and Qualifications:

• Demonstrated proficiency in SysML and UAFML modeling languages.
• Experience executing server-to-server data migrations under tight security constraints, including diagnosing network performance issues (latency, packet drops) across distributed environments.
• Experience supporting Army or DoD civilian personnel operations.
• Familiarity with Army personnel policies, staffing processes, and records management requirements.
• Experience working within DoD Impact Level 5 (IL5) secure hosting environments, DMZs, and secure research networks like the SDREN (Defense Research and Engineering Network).Ability to apply security classification markings down to the individual data-element level.
• Proven experience instructing or training engineering personnel in MBSE practices and model navigation.

Desired Skills and Qualifications:

• Advanced digital enterprise Skill and domain knowledge
• Knowledge and development experience in UAFML 1.3 as described by the DoW CIO Enterprise Architecture Framework.
• Experience developing and maintaining project management and engineering health metrics via Microsoft Power BI and connecting Project Management Office data pipelines.
• Familiarity with Mission Engineering concepts, ontology standardization, and Product Line Engineering (PLE) tools (e.g., PTC Pure Variants PLE).
• Familiarity with risk-management software suites like Active Risk Manager (ARM) and handling migration/upgrade pipelines for custom reports.

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