MBSE & Digital Threads Engineer

Booz Allen Hamilton•Aurora, CO

6d•$62,000 - $141,000

About The Position

Booz Allen is seeking an intellectually curious engineer to build and apply interdisciplinary digital models that carry mission-critical systems from concept through their full lifecycle. The work combines systems engineering, architecture, and data, including specifications, interfaces, milestone products, and digital threads that keep engineering artifacts consistent as designs evolve. The team supports government and other mission-critical systems, including space, ground, positioning, navigation, timing, and lunar mission work. The engineer will develop system models and architectures, apply Model-Based Systems Engineering (MBSE), support program milestone reviews, and use automation to improve efficiency and model quality. The role also contributes to generative AI capabilities for MBSE by connecting engineering models and products with inference workflows, human review, and quality checks. The position involves working with government clients, contractor teammates, and internal partners. At the senior end, the engineer will shape the approach, lead work through milestone reviews, and mentor others. Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation is projected at $62,000 to $141,000 annualized USD. The salary depends on factors including location, education, skills, experience, and organizational requirements. The posting is scheduled to close within 90 days from its Posting Date. Booz Allen describes its offerings as including health, life, disability, financial, and retirement benefits; paid leave; professional development; tuition assistance; work-life programs; dependent care; and recognition awards. Full-time and part-time employees regularly working at least 20 hours per week are eligible to participate in benefit programs, subject to the stated terms. The hiring process includes identity verification using biometrics and artificial intelligence; candidates are expected to be on camera during interviews and assessments. Use of AI or other tools to assist with interview responses is prohibited unless explicitly permitted. The work model is not specified for this position; the posting provides general descriptions of remote, hybrid, and onsite arrangements. Virtual employees are generally expected to have cameras on during meetings.

Requirements

Experience with systems engineering analysis and products on government or mission-critical systems.
Experience with MBSE tools such as Cameo, MagicDraw, Sparx EA, DOORS, or IBM Rhapsody to build specifications, interface definitions, and system architecture.
Experience supporting systems engineering or program-management functions through milestone reviews.
Knowledge of automation using scripts, code, or low/no-code tools.
Ability to build working relationships with government clients and contractor teammates.
Secret clearance required.
Bachelor’s degree in a STEM field.

Nice To Haves

Experience extending a digital thread across requirements, architecture, interfaces, design, and verification.
Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
Knowledge of Agile methods and DevSecOps tools.
Knowledge of large language model inference engines or frameworks and how to apply them to MBSE.
Strong problem-solving skills and attention to detail.
Master's degree in a STEM field.
Industry certification such as OCSMP, ASEP, GCP, Azure, AWS, or Security+.

Responsibilities

Develop and maintain system models, architectures, and related engineering products for government or other mission-critical systems.
Apply MBSE to produce technical specifications, interface control documents, and architecture views for program use.
Support program milestone reviews with clear analysis, consistent artifacts, and defensible answers for stakeholders.
Use scripts, code, or low/no-code automation to reduce repetitive work and improve model quality.
Contribute to generative AI capabilities for MBSE by connecting engineering models and products with inference workflows, human review, and quality checks.
Work with government clients, contractor teammates, and internal partners to keep technical decisions aligned with program goals.
At the senior end of the role, shape the approach, lead work through milestone reviews, and mentor others.