Sr. Systems Engineer Modeling & Simulation Integration (ES5)

Amentum•Huntsville, AL

2d•Onsite

About The Position

This position provides Systems Engineering (SE) and Systems Analysis integration support to the Systems Analysis Branch (EV73), supporting NASA's Space Launch System (SLS) Program and Artemis missions. The successful candidate supports management, assessment, integration, and use of Design Math Models (DMMs) across the SLS engineering lifecycle. The role combines systems engineering expertise, substantial experience applying modeling and simulation (M&S), analytical problem solving, and process development, with work across organizational and technical boundaries to investigate process issues, organize engineering information, and produce defensible engineering documents supporting SLS launch operations. The position involves evaluating DMM metadata, model pedigree, intended use, configuration, verification and validation evidence, and supporting technical data. The engineer supports technical reviews, model and simulation criticality assessments, model credibility activities, and integration of models, requirements, configuration information, engineering data, and technical products throughout the product lifecycle. The role also includes forensic analysis of technical information, development and improvement of engineering processes and workflows, and collaboration with software developers and data integration organizations to define needs and improve tools and applications. The work is in an office environment and includes communication and interaction with coworkers, management, and the client; domestic U.S. travel is required (5%). The role requires prolonged computer use, sitting for meetings and desk work, and use of general office equipment. Normal hours are 7:30 a.m.–4:30 p.m., Monday through Friday. Minimal overtime may be required (10%) to meet schedule milestones and technical demands.

Requirements

Bachelor’s degree in Systems, Industrial, Aeronautical/Aerospace, Mechanical, Electrical, or a related engineering discipline from an ABET-accredited college or university; alternatively, a bachelor’s degree in a related technical discipline such as Computer Science, Mathematics, Physics, or a comparable technical field.
At least 15 years of relevant professional experience.
Must be a U.S. citizen and have a STAR ID; proof of U.S. citizenship is required.
Extensive experience applying modeling and simulation throughout an engineering or product lifecycle.
Experience performing or supporting verification, validation, accreditation/certification, or credibility assessment of models and simulations.
Experience using models and simulations to inform and support technical decisions.
Strong analytical and investigative skills, including collecting and evaluating information from multiple sources, identifying inconsistencies or gaps, establishing technical relationships, and developing defensible conclusions.
Demonstrated ability to break down complex technical problems into manageable elements and facilitate resolution across multiple organizations.
Experience developing, improving, or institutionalizing engineering processes and workflows.
Strong organizational skills and ability to manage multiple technical activities, records, reviews, and stakeholders concurrently.
Strong interpersonal skills and ability to develop productive working relationships across engineering disciplines and organizational boundaries.
Excellent oral and written communication, customer relations, and presentation skills.
Ability to communicate complex technical information to technical personnel and senior management.
Proficiency with Microsoft Office applications, including Word, Excel, PowerPoint, and Outlook.
Ability to work independently with minimal supervision, make rational decisions, and exercise good judgment.
Ability to provide clear, concise, accurate, and timely verbal and written communication and interact professionally with coworkers, management, and the client.
Ability to work at a computer for extended periods and sit for extended periods during meetings and desk work; ability to use stairs or elevators to access floors and buildings.
Ability to operate a personal computer, telephone, fax machine, copier, calculator, and other general office equipment.

Nice To Haves

Experience working with Configuration Management and/or Data Management principles, processes, and organizations.
Experience performing technical or forensic analysis that correlates information from multiple sources to reconstruct events, determine technical pedigree, identify discrepancies, or support decision-making.
Experience with product management, product ownership, product strategy, or software development organizations.
Experience translating engineering user needs into requirements or enhancements for software developers and data management organizations.
Experience developing engineering governance, review, approval, or technical data management processes.
Experience or knowledge of NASA Systems Engineering policies, standards, and procedures.
Knowledge of NASA management and governance of Design Math Models.
Certified Modeling & Simulation Professional (CMSP) certification.
Modeling and Simulation experience involving launch vehicles, spacecraft, aerospace systems, or other complex systems.
Knowledge of NASA spacecraft, launch vehicles, Artemis missions, or the Space Launch System Program.
Analytical and naturally investigative approach; highly organized and attentive to technical details; comfort working with incomplete, distributed, or conflicting engineering information; ability to recognize relationships and dependencies across models, data, configurations, requirements, and organizations; process orientation balanced with engineering objectives; comfort engaging engineers, software developers, technical leads, and managers; willingness to question inconsistencies and pursue issues through technical closure; ability to work independently and in multidisciplinary teams; and proactive development of working relationships to obtain information and resolve technical issues.

Responsibilities

Serve as a Systems Engineering representative to SLS Design Math Model (DMM) Task Teams.
Review DMM metadata for completeness, accuracy, consistency, and traceability.
Participate in technical reviews of DMMs and associated documentation.
Evaluate model pedigree, intended use, configuration, verification and validation evidence, and supporting technical data.
Provide Systems Engineering concurrence that DMMs and associated metadata meet stated objectives and are ready for SLS applications.
Review proposed models and simulations and perform criticality assessments to determine appropriate management, documentation, and tracking requirements.
Support verification, validation, accreditation/certification, and credibility assessment activities for engineering models and simulations.
Apply Systems Engineering principles to manage and integrate models, engineering data, requirements, configuration information, and technical products throughout the product lifecycle.
Work with Configuration Management, Data Management, engineering discipline organizations, software/data integration teams, and program stakeholders to maintain consistency and traceability of technical information.
Investigate and forensically analyze technical data to reconstruct model history, pedigree, configuration, and usage; identify inconsistencies, gaps, dependencies, or conflicting information; establish relationships among models, analyses, requirements, configurations, and engineering decisions; and develop defensible conclusions from incomplete or distributed information.
Develop, document, and improve Systems Engineering processes and workflows for model management, technical data, reviews, approvals, and engineering integration.
Work with software developers and data integration organizations to define user needs, functional requirements, workflow improvements, and enhancements to engineering tools and applications.
Facilitate resolution of complex technical and organizational issues involving multiple engineering disciplines and stakeholders.
Communicate technical information and maintain productive working relationships across engineering disciplines and organizational boundaries.
Travel domestically in the USA as required (5%).