Mid-Level System Engineer - GEOINT
Mid-Level System Engineer - GEOINT KBR is seeking a mid-level Systems Engineer to support government customers in the Washington Metropolitan Area. The Systems Engineer for GEOINT Testing provides the expertise and skillsets to successfully develop, coordinate, and execute a risk-based GEOINT product quality assessment program. They will apply systems engineering processes relevant to DoD acquisition programs to enable detailed risk-assessments of GEOINT data and GEOINT TCPED capabilities for developing comprehensive quality evaluation studies. This function maintains awareness of planned updates to the NSG, including systems, capabilities, and sensors through review and coordination of Mission Partner Requests for Change (RFC), review of system documentation, and tracking schedules. Additionally, this function facilitates and supports the development and maintenance of standard operating procedures (SOPs), Concept of Operations (CONOPs), work instructions and others to ensure standardization and continuity in the risk-based strategy across all product quality efforts. Responsibilities:
- Provide and maintain functional knowledge of the following: The National System for GEOINT (NSG), system engineering processes and procedures, and GEOINT capabilities that reside in NSG legacy and cloud environments
- Support early product quality requirements review and input for NSG system development, upgrades, sensor integration, and other NSG improvements via Request for Change (RFC) review
- Coordinate Subject Matter Expert (SME) review of related RFCs and supporting documentation to assess product quality risk and impact.
- Report comments and impacts to RFC POCs and track RFC approval.
- Support the development and maintenance of product quality SOPs, CONOPs, architecture design, handbooks, strategic plans, and reference guidance.
- Support program milestone events (including Test Planning Meetings, Operational Acceptance Tests, and others) and provide recommendation based on assessments, analysis, and coordination; risk assessments, product quality assessments, coordination with program offices.
- Provide Product Quality risk assessment of ad hoc Image Quality support requests received from mission partners, stakeholders, DoD Service components, NGA team member organizations, and others.
- Bachelor's degree in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
- 4-7 years of experience working experience in government or industry in relevant work areas including: DoD/IC Acquisition Process, Requirements Process, PPBES Process or system engineering of large complex System of Systems or Service Oriented Architecture/Cloud environments.
- Strong understanding of the systems engineering lifecycle to include independent testing and data verification, requirements, and development of concept of operations. Ability to define product format requirements for new products to meet integration and interoperability requirements of the NSG.
- Experience developing/assessing product quality requirements and specifications. Experience in image science field working with the fundamentals of image processing, image formation, optics, digital signal processing.
- Application of image science knowledge/experience to develop test plans and procedures to assess data quality and accuracy.
- Experience identifying data needs to adequately perform product assessments to meet test objectives. Experience testing software functionality and quality.
- Knowledge of basic image science knowledge to quantify visual quality of imagery products and work with developers to trouble shoot causes of errors. Experience developing engineering-quality verification tools.
- Software development skills to support system engineering tasks and data analysis, specifically C/C++, Python, JAVA, Matlab, IDL and/or scripting languages.
- High-level written and oral communication skills.
- Master's degree in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
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