Systems Engineer - Modeling & Simulation Integration

The successful candidate will support the management,assessment, integration, and use of Design Math Models (DMMs) across the SLSengineering lifecycle. This position requires a combination of systemsengineering expertise, significant experience applying modeling and simulation(M&S), analytical problem solving, and process development.\n, * Bachelor’s degree in Systems, Industrial, Aeronautical/Aerospace, Mechanical, Electrical, or a related engineering discipline from an ABET-accredited college or university; or a bachelor’s degree in a related technical discipline such as Computer Science, Mathematics, Physics, or a comparable technical field.\n

• A minimum of 15 years of relevant professional experience.\n, * Extensive experience applying modeling and simulation throughout an engineering or product lifecycle.\n
• Experience performing or supporting verification, validation, accreditation/certification, or credibility assessment of models and simulations.\n
• Experience using models and simulations to inform and support technical decisions.\n
• Strong analytical and investigative skills, including the ability to collect and evaluate information from multiple sources, identify inconsistencies or gaps, establish technical relationships, and develop defensible conclusions.\n
• Demonstrated ability to decompose complex technical problems into manageable elements and facilitate resolution across multiple organizations.\n
• Experience developing, improving, or institutionalizing engineering processes and workflows.\n
• Strong organizational skills and demonstrated ability to manage multiple technical activities, records, reviews, and stakeholders concurrently.\n
• Strong interpersonal skills and the ability to develop productive working relationships across engineering disciplines and organizational boundaries.\n
• Excellent oral and written communication, customer relations, and presentation skills.\n
• Demonstrated ability to communicate complex technical information to both technical personnel and senior management.\n
• Proficiency with Microsoft Office applications, including Word, Excel, PowerPoint, and Outlook.\n, * Experience working with Configuration Management and/or Data Management principles, processes, and organizations.\n
• Experience performing technical or forensic analysis in which information from multiple sources must be correlated to reconstruct events, determine technical pedigree, identify discrepancies, or support decision making.\n
• Experience with product management, product ownership, product strategy, or software development organizations.\n
• Experience translating engineering user needs into requirements or enhancements for software developers and data management organizations.\n
• Experience developing engineering governance, review, approval, or technical data management processes.\n
• Experience or knowledge of NASA Systems Engineering policies, standards, and procedures.\n
• Knowledge of NASA management and governance of Design Math Models.\n
• Certified Modeling & Simulation Professional (CMSP) certification.\n
• Modeling and Simulation experience involving launch vehicles, spacecraft, aerospace systems, or other complex systems.\n
• Knowledge of NASA spacecraft, launch vehicles, Artemis missions, or the Space Launch System Program.\n

• Review DMM metadata for completeness, accuracy, consistency, and traceability.\n
• Participate in technical reviews of DMMs and associated documentation.\n
• Evaluate model pedigree, intended use, configuration, verification and validation evidence, and supporting technical data.\n

• Provide Systems Engineering concurrence that DMMs and associated metadata satisfy stated objectives and are ready for SLS applications.\n \n

• Review proposed models and simulations and perform criticality assessments to determine appropriate management, documentation, and tracking requirements.\n
• Support verification, validation, accreditation/certification, and credibility assessment activities for engineering models and simulations.\n
• Apply Systems Engineering principles to the management and integration of models, engineering data, requirements, configuration information, and technical products throughout the product lifecycle.\n
• Work closely with Configuration Management, Data Management, engineering discipline organizations, software/data integration teams, and program stakeholders to maintain consistency and traceability of technical information.\n
• Perform investigative and forensic analysis of technical data to:\n

• \n \n

• Reconstruct model history, pedigree, configuration, and usage.\n
• Identify inconsistencies, gaps, dependencies, or conflicting information.\n
• Establish relationships among models, analyses, requirements, configurations, and engineering decisions.\n

• Develop technically defensible conclusions from incomplete or distributed information.\n \n

• Develop, document, and improve Systems Engineering processes and workflows associated with model management, technical data, reviews, approvals, and engineering integration.\n
• Work with software developers and data integration organizations to define user needs, functional requirements, workflow improvements, and enhancements to engineering tools and applications.\n
• Facilitate resolution of complex technical and organizational issues involving multiple engineering disciplines and stakeholders.\n

\n Minimum Requirements:\n \n \n, The strongestcandidates will demonstrate a combination of technical depth, analyticalability, and organizational effectiveness. The position requires an individualwho is:\n \n \n

• Analytical and naturally investigative.\n
• Highly organized and attentive to technical details.\n
• Comfortable working with incomplete, distributed, or occasionally conflicting engineering information.\n
• Able to recognize relationships and dependencies across models, data, configurations, requirements, and organizations.\n
• Process-oriented without losing sight of engineering objectives.\n
• Comfortable engaging engineers, software developers, technical leads, and managers.\n
• Willing to ask questions, challenge inconsistencies, and pursue issues through technical closure.\n
• Capable of working independently while functioning effectively as part of multidisciplinary teams.\n
• Outgoing and proactive in developing the working relationships necessary to obtain information and resolve technical issues.\n, Bevilacqua ResearchCorporation is proud tobe an Equal Opportunity Employer. Our hiring practices provide equalopportunity for employment without regard to race, religion, color, sex,gender, national origin, age, United States military veteran’s status,ancestry, sexual orientation, gender identity, marital status, familystructure, medical condition including genetic characteristics or information,veteran status, or mental or physical disability so long as the essentialfunctions of the job can be performed with or without reasonable accommodation,or any other protected category under federal, state, or local law. \n \n PI286665817”, “hiringOrganization”: {“@type”: “Organization”, “name”: “Bevilacqua Research Corporation”}, “jobLocation”: {“address”: {“addressCountry”: “United States”, “streetAddress”: “Not specified”, “@type”: “PostalAddress”, “postalCode”: “35805”, “addressLocality”: “Huntsville”, “addressRegion”: “Alabama - AL”}, “@type”: “Place”}, “industry”: “”, “identifier”: {“@type”: “PropertyValue”, “name”: “Bevilacqua Research Corporation”, “value”: “286665817”}, “baseSalary”: {“@type”: “MonetaryAmount”, “currency”: “USD”, “value”: {“@type”: “QuantitativeValue”, “value”: “Competitive”, “unitText”