Quick overview
Job description
Digital Systems Engineer - MBSE Location: Dayton, Ohio
Security Clearance: Must be Able to Obtain - U.S. citizenship required
Salary: $800,000 - $125,000 Depending on Experience and Education
Travel: 10%
Benefits: SURVICE Engineering offers a total rewards package to include competitive salaries, comprehensive insurance options, paid time off, 401k, flexible spending, tuition reimbursement.
Position Summary SURVICE Engineering is currently seeking a Digital Systems Engineer - MBSE to support our Dayton Area Operation. You will accelerate your career and become an integral team member within the defense community. Primary Duties and Responsibilities of Digital Systems Engineer - MBSE Apply principles, theories, and concepts related to digital system modeling. Use MBSE tools to document program requirements, track performance metrics, manage systems engineering processes, and develop complex system models.
Utilize tools such as Cameo to create detailed models that integrate subsystem models. Support eventual migration to SysML v2. Help develop automation capabilities and establish a digital thread. Collaborate with coworkers, customers, and government program partners. Provide managers with technical advice on creating and implementing new MBSE methods and techniques. Perform other systems engineering duties as assigned by the manager or their delegate.
Minimum Qualifications of Digital Systems Engineer - MBSE
Bachelor's Degree in Technical Field of Study or social science and 2+ years of relevant experience. Candidates are not required to possess all qualifications; is you possess some of the desired qualifications, please apply.
Desired Experience Strong analytical, inferential, critical-thinking, and creative problem-solving skills
Proficiency with MBSE tools and languages
OMG or INCOSE certification(s)
Knowledge of and experience with digital engineering concepts, methodologies, and tools
Experience integrating MBSE practices across multiple organizations
Experience leading MBSE teams and directing development and implementation
Strong coding and modeling skills applicable to data-set integration
Demonstrated ability to work independently
Demonstrated ability to contribute effectively to small, dynamic teams and deliver products that exceed customer expectations
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