Lead MBSE Engineer

Leidos; United States; Remote; USD 131,000 - 237,000; Full time

Job summary

Leidos seeks a Systems Engineer with MBSE expertise to drive large-scale SysML models using Cameo, DoDAF, and collaborative tools. You will lead model development, ensure traceability, and support MBSE standards across engineering teams.

The role is 100% remote (US-based) with CONUS and OCONUS travel, requiring DoW experience and Secret clearance eligibility. Strong communication and mentoring skills are essential.

Qualifications

• BS engineering degree with 12+ years of relevant experience or MS with 10+ years of experience.
• U.S. citizenship; ability to obtain Secret clearance.
• Experience in basic systems engineering and leading DoW customer design.
• Hands-on MBSE using SysML.
• Experience using Cameo Systems Modeler.
• Experience developing and maintaining system models with multiple SysML diagrams.
• Experience with requirements traceability in a systems engineering environment.
• Experience collaborating with multidisciplinary teams.
• Strong analytical and communication skills.
• Experience with Cameo Teamwork Cloud and Cameo Collaborator.
• Experience developing MBSE standards and mentoring engineers.

Responsibilities

• Develop, maintain, and expand large-scale SysML models using Cameo and DoDAF.
• Create architecture artifacts: BDD, IBD, Requirements, Use Case, Activity, Sequence diagrams.
• Produce MBSE outputs: ICD, IDD, SDD, RVTM, and other artifacts.
• Manage collaborative modeling via Cameo Teamwork Cloud.
• Ensure traceability between requirements and model artifacts.
• Review models for quality and consistency; enforce MBSE practices.
• Mentor engineers adopting MBSE; support MBSE standards.

Skills

MBSE

SysML

Cameo Systems Modeler

Cameo Teamwork Cloud

Cameo Collaborator

Requirements traceability

Cross-functional collaboration

Analytical skills

Communication

Mentoring

Python

Systems integration

Modeling and simulation

Digital engineering

DAF systems

Education

Bachelor's degree in Engineering

Tools

Jira

Confluence/SharePoint

Cameo Systems Modeler 2024x

Job description

Systems Engineer

Location: 100% Remote (US based location) with CONUS and OCONUS Travel

Clearance: Ability to obtain Secret clearance

Leidos is seeking an experienced Systems Engineer with Model-Based Systems Engineering (MBSE) experience to act as a systems engineer and lead systems modeler . In this role, you will drive the development, maintenance, and integration of large-scale systems engineering models using DoDAF in support of our customers’ mission. This is an exciting opportunity to drive a model design and apply hands‑on experience with SysML, Cameo Systems Modeler, and collaborative model management in a dynamic engineering environment.

You will be supporting the design and delivery of network services (subsea, terrestrial and Satellite Communication (SATCOM) backup) that will meet the requirement of the Tactical Multi‑Mission Over‑the‑Horizon Radar (TACMOR) program. The network services will include the management, on‑island communications, off‑island communications, and an integration facility to be used to ensure consistent interfaces and end‑to‑end service delivery.

The successful candidate will work closely with the chief engineer, system design team, system modelers and other technical disciplines to develop and maintain authoritative system models, establish and maintain requirements traceability, validate model integrity, and support the adoption of MBSE practices across engineering teams. Qualified applicants must be self‑motivated, detail‑oriented, and able to work effectively in an environment with evolving priorities and technically complex requirements.

This position is 100% remote (US based location) with travel to both CONUS and OCONUS locations.

Primary Responsibilities:

• Develop, maintain, and expand large-scale SysML models using Cameo Systems Modeler using DoDAF.
• Develop and maintain system architecture and engineering artifacts including Block Definition Diagrams (BDD), Internal Block Diagrams (IBD), Requirements, Use Case, Activity, Sequence diagrams. Develop MBSE output from Cameo to include ICD, IDD, SDD, RVTM, and other engineering artifacts to support design reviews and testing processes using Cameo Report Wizard.
• Manage collaborative model development using Cameo Teamwork Cloud.
• Establish and maintain traceability between system requirements and model artifacts using Cameo.
• Review models developed by other engineers for quality, consistency, completeness, and adherence to established modeling practices.
• Support the development, documentation, and implementation of MBSE modeling standards, processes, and best practices.
• Collaborate with systems engineers, software engineers, and other technical disciplines to translate engineering requirements and concepts into structured system models.
• Provide technical guidance and mentoring to engineers adopting MBSE practices and modeling tools.
• Support customer technical meetings, engineering reviews, demonstrations, and capability briefings as required.
• Identify opportunities to improve engineering processes through expanded use of MBSE, modeling, simulation, and digital engineering practices.
• Support requirements analysis, system integration, technical assessments, and other systems engineering activities as needed.
• Provide engineering technical support to special projects as required.

Basic Qualifications:

• BS engineering degree and 12+ years of prior relevant experience or Masters engineering degree and 10+ years prior relevant experience. Additional experience may be considered in lieu of a degree.
• U.S. citizenship; Ability to obtain a Secret clearance.
• Experience in basic systems engineering and leading system design for a DoW customer.
• Hands‑on experience performing Model-Based Systems Engineering (MBSE) using SysML.
• Experience using Cameo Systems Modeler.
• Experience developing and maintaining system models using multiple SysML diagram types.
• Experience with requirements traceability and management within a systems engineering environment.
• Experience collaborating with multidisciplinary engineering teams.
• Strong analytical, problem‑solving, written, and verbal communication skills.
• Ability to effectively communicate technical information to both technical and non‑technical stakeholders.
• Experience with Cameo Systems Modeler 2024x or later.
• Experience with Cameo Teamwork Cloud.
• Experience with Cameo Collaborator.
• Experience developing or implementing MBSE modeling standards and processes.
• Experience providing mentorship or technical guidance to other engineers adopting MBSE practices.

Preferred Qualifications:

• Active Secret clearance.
• Familiarity with Agile development methodologies and tools such as Jira and Confluence/SharePoint.
• Experience with Python, scripting, or other automation capabilities applied to engineering or modeling tasks.
• Experience with systems integration, modeling and simulation, or digital engineering environments.
• Previous experience working DAF systems.

Please be advised that during the interview, you will be required to keep your camera on, and your interviewer will be taking your picture for identification purposes if an offer letter is extended to you.

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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:

September 23, 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 $131,300.00 - $237,350.00

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.