3 senior manufacturing engineer jobs found

Description SAIC is seeking an AI/Machine Learning Engineer to support the Enterprise Center of Excellence (ECOE) in developing scalable, data-driven solutions for mission-critical aerospace and defense systems. This role focuses on building applied machine learning capabilities on top of structured, governed data systems , enabling predictive analytics, anomaly detection, and decision support at the aircraft and system level . The position bridges data engineering, analytics, and machine learning , supporting the transition from file-based data processing to enterprise data warehouse-driven intelligence . This is a Hybrid/Remote role with preference to be residing in San Diego, CA. JOB DUTIES: Data Pipeline & ML Integration Develop and maintain end-to-end data pipelines (API ingestion, transformation, and loading into structured data stores). Integrate machine learning models into production data workflows. Work with cloud-based data platforms (AWS, S3,...

Description SAIC is seeking Field Service Engineers (FSE) to support the Medusa Sustainment project, at Andrews Air Force Base, which is a U.S. Air Force solution for defense against small unmanned aerial systems (s-UAS). The Medusa System of Systems is the U.S. Air Force's solution for defense against small unmanned aerial systems (s-UAS) utilizing a government-owned Medusa Command and Control (Medusa C2), which allows for a plug-and-play selection of Passive and Active Sensors, Electronic and Kinetic Weapon Systems, as well as the insertion of a variety of Fusion, Association, Threat and Combat ID Algorithms. The Medusa C2 supports fixed base, portable, mounted and handheld operations. The Medusa Team supports the United States Air Force C-sUAS programs worldwide. Job Responsibilities: Provide field engineering and technical support services to maintain and sustain fielded C-sUAS systems, equipment, and software at designated locations. Install, operate,...

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...