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2 senior manufacturing engineer jobs found

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SAIC senior manufacturing engineer VA
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SAIC
Mar 25, 2026
Payload SME
SAIC VA
Description SAIC has an opening for a Spacecraft Payload SME Engineer with an understanding of Digital Receiver Processors. The individual selected will provide subject matter expertise to support customer decisions with respect to contractors' development of spacecraft RF collection payloads and overall mission capabilities. Individual will perform the following duties. Responsible for overseeing vendor development of RF antenna and receiver payload path to flight as the primary technical expert. Responsible for supporting end-to-end payload development to include: Analysis of alternatives Requirements generation, evaluation and compliance assessments Concept design evaluation Critical technology element (CTE) identification and assessments; Technology readiness assessments (TRA); manufacturing readiness assessments (MRA). Concept of Operations (CONOPS) development Oversight of payload integration Transition to operations to include: development; operator...
SAIC
Apr 29, 2026
Machine Learning Modeling and Simulation Engineer
SAIC VA
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...
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