Remote job
MBSE Engineer
Job details
About this role
Role overview
Develop and support model-based systems engineering solutions for property screening capabilities. Structured models connect requirements, architecture, system behavior, interfaces, and verification information so engineering teams can examine alternatives, trace dependencies, and understand potential design changes.
Responsibilities
- Build and validate models of operational activities, requirements, system structure, behavior, and interfaces using a structured methodology. - Use models and simulations to support alternatives analysis, integration planning, performance analysis, and scenario evaluation. - Work with engineering and program stakeholders to define modeling goals, scope, intended uses, and analytical questions. - Maintain traceability among operational needs, requirements, architecture, interfaces, and verification information; assess the effects of proposed changes. - Conduct independent model reviews for syntax, consistency, completeness, and suitability, and document discrepancies and supporting evidence. - Maintain model lifecycle materials, including versions, review records, conventions, reusable patterns, and documentation of assumptions, methods, limitations, and sources.
Requirements
- Bachelor’s degree and at least three years of related experience, or an equivalent combination of education and experience. - Hands-on experience creating and maintaining systems models using a structured modeling method. - Experience with requirements traceability, architecture or behavior modeling, and model quality reviews. - Knowledge of analyzing user needs and translating them into system requirements. - Strong analytical, problem-solving, and communication skills, with the ability to work independently and collaboratively. - U.S. citizenship and ability to obtain, maintain, and access classified information at the client level.
Nice to have
- Experience with Cameo, SysML, ProModel, or comparable tools. - Familiarity with applying advanced analytics, machine learning, or artificial intelligence to system analysis when appropriate.
Benefits and work setup
- Compensation range: $100,000–$130,000, depending on location, skills, and experience. - Benefits include medical, dental, and vision coverage; 401(k); disability and life insurance; paid time off and federal holidays; and training and development opportunities. - Work is primarily in an office or warehouse setting and may involve walking, climbing stairs, working near mechanical equipment, and occasionally lifting up to 50 pounds.