Senior Model Based Systems Engineer job opportunity at Leidos.

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DatePosted 5 Days Ago bot
Leidos Senior Model Based Systems Engineer
Experience: 8-years
Pattern: full-time
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loacation Beavercreek, OH, United States Of America
loacation Beavercreek, O..........United States Of America

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   Non-Kinetic Effects Business Area , part of the Defense Sector at Leidos, currently has an opening for a cleared  Senior Model Based 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.  Collaborate with government stakeholders and internal engineering teams.  Champion MBSE within our organization.  Serve as primary POC to our customers for MBSE  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 8+ years of prior relevant experience or a Master’s degree with 6+ years of experience.  3+ years experience developing models with SysML  Must be a US Citizen.  Must have an active DoD Secret Clearance or higher  Must be able to acquire a Top-Secret security clearance.  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.  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  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  If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: January 15, 2026 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 $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and 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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