MBSE & Digital Threads Engineer

Booz Allen Hamilton; United States; On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton is seeking an MBSE & Digital Threads Engineer to advance model-based systems engineering and develop digital threads across full lifecycle engineering and product development. You will contribute to operationalizing generative AI for Systems Engineering, integrating human-in-the-loop processes, and building automation to streamline workflows.

Candidates should have government/mission-critical experience, MBSE tool proficiency, and the ability to obtain a Secret clearance.

Qualifications

• Experience performing systems engineering analysis for government or mission-critical systems.
• MBSE for technical specifications, interface control documents, and system architecture using digital engineering tools such as Cameo or MagicDraw, SparxEA, DOORS, or IBM Rhapsody
• Knowledge of script-based and low-code or no-code automation
• Ability to support multiple systems engineering and program management functions at milestone reviews
• Ability to communicate effectively with government clients and stakeholders
• Ability to obtain a Secret clearance
• Bachelor's degree in a STEM field

Skills

MBSE

Digital threads

Systems engineering analysis

Automation scripting

Low-code / no-code automation

Secret clearance

Bachelor's degree in STEM

Cloud platforms (AWS/Azure/GCP)

DevSecOps (GitHub Actions)

LangChain / LlamaIndex

RESTful APIs / Node.js / React

Python / Java

MATLAB / STK / TeamCenter

DoD / NASA experience

OCSMP / ASEP

Education

Bachelor's degree in STEM

Master's degree in Engineering

Tools

Cameo

MagicDraw

SparxEA

DOORS

IBM Rhapsody

Job description

MBSE & Digital Threads Engineer

The Opportunity

You are a forward-thinking digital engineer, passionate about solving complex problems through a systematic approach, strong technical skills, and data-centric analysis to answer critical questions. You excel at working independently while collaborating effectively with interdisciplinary teams and stakeholders. You have experience implementing Model-Based Systems Engineering(MBSE) approaches and developing digital threads to support full lifecycle engineering and product development. You apply leading-edge principles, theories, and concepts to provide highly innovative solutions. You are resourceful, leveraging script-based and low or no-code automation tools to streamline and enhance workflows across engineering functions.

In this role, you will contribute to operationalizing generative AI for Systems Engineering, integrating human-in-the-loop processes and quality guardrails to ensure reliable outcomes.

Join us. The world can't wait.

You Have

• Experience performing systems engineering analysis and developing systems engineering products for government systems or mission critical systems
• Experience with practical MBSE for the development of technical specifications, interface control documents, and system architecture, including using digital engineering tools such as Cameo or MagicDraw, SparxEA, DOORS, or IBM Rhapsody
• Knowledge of script-based and low-code or no-code automation
• Ability to perform multiple systems engineering and program management functions in support of program milestone reviews
• Ability to communicate effectively and establish collaborative relationships with government clients and associate contractor stakeholders or teammates to achieve program goals
• Ability to obtain a Secret clearance
• Bachelor's degree in a STEM field

Nice If You Have

• Experience working with cloud computing platforms such as AWS, Azure, or GCP
• Experience utilizing DevSecOps tools such as GitHub Actions to build and manage CI/CD pipelines
• Experience with RAG technologies and LLM frameworks such as LangChain or LlamaIndex, LLM model registries such as Hugging Face, and embedding models and vector databases
• Experience with full-stack development, including RESTFul APIs, Node.js, JavaScript, or React
• Experience with software product testing and QA or QC
• Experience with programming automation, including Python or Java
• Experience with MATLAB, STK, ModelCenter, or TeamCenter
• Experience with U.S. government space systems such as NASA or DoD
• Master's degree in Engineering
• Industry Certifications such as OCSMP or ASEP Certification

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being.

• Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.
• Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values.
• Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs.
• Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.
• We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.