2 space systems engineer jobs found

Description SAIC has need for a Machine Learning Modeling and Simulation Engineer to support a rapidly expanding Government Intelligence Community (IC) customer with cutting-edge programs within the National Reconnaissance Office (NRO) in Chantilly, VA. Note: The role offers a flexible work schedule, but we ask our team to be available for team meetings during core business hours (10:00 a.m. - 3:00 p.m.). As the Machine Learning Modeling and Simulation Engineer, you will provide technical expertise across a variety of Machine Learning (ML) and Modeling and Simulation (M&S) topics, including developing and training ML models, designing simulation frameworks, conducting performance analyses, and applying data-driven approaches to solve complex problems. You will also assist with Systems Engineering topics (e.g., requirements, configuration management, readiness, verification and validation, etc.) to ensure seamless integration of ML capabilities within simulation...

Description SAIC is seeking a highly skilled Model Based Systems Engineering (MBSE) Engineer to provide Systems Engineering and Technical Advisory (SETA) support to a mission critical program in Chantilly, VA. In this role, you will directly support the National Reconnaissance Office's (NRO) Ground Enterprise Directorate (GED)-the organization responsible for architecting, acquiring, and sustaining the nation's most advanced space and ground systems across their full lifecycle. This position requires an active TS/SCI with Polygraph. Key Responsibilities to include: Provide technical expertise on MBSE tools, processes, and modeling standards, guiding stakeholders in the adoption and execution of model based engineering. Develop and maintain MBSE models that support system engineering activities, including architecture definition, requirements traceability, and interface management. Ensure all interfaces are accurately captured in MBSE compatible formats and...