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Model Based Systems Engineer

Leidos

Company : Leidos

Location : Beavercreek, OH, 45432

Posted Date : 19 October 2025

Job Type : Other

Category : Industrial Engineering

Occupation : Systems Engineer

Job Details

Description

Looking for an opportunity to make an impact?

Leidos is dedicated to making the world a safer place. This starts with helping our customers in the Defense Industry achieve their critical missions. Our dedicated Defense Group employees are solving critical challenges across the globe. At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.

Are you ready for your next career challenge?

The Airborne Systems Business Area, part of the Defense Sector at Leidos, currently has an opening for a cleared Lead Systems Engineer to work in our Beavercreek, OH Office. This is an exciting opportunity to use your experience helping the Air Force Research Lab, Air Force Lifecycle Management Center, and other DoD missions. Your role will be to support our diverse portfolio of programs through Model Based Systems Engineering.

Primary Responsibilities.

  • Capture, decompose, and trace system level requirements.

  • Analyze, define, and refine architectures and interfaces.

  • Develop system structure and behavior.

  • Develop SysML based models to support Air Force programs

  • Collaborate with government stakeholders and internal engineering teams.

  • Stay up to date on state of the art MBSE practices and technologies.

Basic Qualifications.

  • Bachelor's degree in engineering, computer science, or a related field and 2-4 years of prior relevant experience or a Master's degree with less than 2 years of experience.

  • Experience developing models with SysML

  • Experience with at least one Model Based Systems Engineering modeling tool.

  • Ability to communicate effectively in writing and verbally from informal one-on-one discussions or in a small group environment.

  • Work well within a team and independently with minimal supervision.

  • Ability to work within a dynamic work environment, ability to handle multiple tasks at once (multi-task)

  • Strong desire to grow and learn new technologies.

  • Must be a US Citizen.

  • Must be able to obtain and maintain a Top-Secret security clearance.

  • Strong interpersonal and communication skills

Preferred Qualifications.

  • Active DoD TS/SCI clearance

  • Familiar with Agile Methodologies, preferably SCRUM or Kanban

  • Experience with Atlassian tools such as JIRA, Confluence, Bitbucket

  • Experience using Teamwork Cloud

  • Experience with Cameo Systems Modeler

  • Familiarity with SysML v2

  • Experience with model and simulation environments to support simulation and test

  • Experience with AFSIM

  • Familiarity with DoD MOSA Initiatives

  • Experience with Unit Testing and CI/CD

  • Understanding of Military CONOPS

  • Prior experience working with the DoD

Come break things (in a good way). Then build them smarter.

We're the tech company everyone calls when things get weird. We don't wear capes (they're a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for "how it's always been done."

Original Posting:August 11, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $67,600.00 - $122,200.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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