5 java software engineer jobs found

Description SAIC is seeking a PLM Developer to join our energized Solutions Technology Group ReadyOne Product Team of digital engineers. Help advance the ReadyOne Digital Engineering Ecosystem, a packaged digital thread solution that fuels Digital Engineering Transformation across our entire industry. Our work creating digital threads spans an exciting variety of programs, customers, and corporate initiatives requiring Digital Engineering and Model Based Enterprise applications and infrastructure deployed in Defense, Federal Civilian, and/or National Security environments. As part of our Solutions Technology Group Product Team, you will be responsible for prototyping, architecting, and deploying new Digital Engineering solutions for our internal and external customers to include both cloud-based and on-prem solutions across multiple security domains. You will engage with other digital engineering subject matter experts and foster broader understanding of the Digital...

Description SAIC is a trusted leader in delivering advanced commandandcontrol capabilities across the Department of the Air Force, bringing deep expertise in how cuttingedge technologies are engineered, secured, and delivered to the fight. At the center of this mission, the Common Mission Control Center (CMCC) unifies data, sensors, mission applications, cloudbased services, and emerging AIenabled automation to give warfighters a decisive edge-turning complex, multidomain information into fast, clear, and actionable decisions in the moments that matter most. The CMCC System Facilitator contract positions SAIC to accelerate how new capabilities are integrated, tested, secured, and transitioned into operational use, working sidebyside with operators, engineers, Capability Providers, and government teams to ensure every delivery strengthens mission readiness. We are seeking a Systems Engineer - Modeler to lead MBSE driven architecture, requirements, and interface modeling for...

Description SAIC is a trusted leader in delivering advanced commandandcontrol capabilities across the Department of the Air Force, bringing deep expertise in how cuttingedge technologies are engineered, secured, and delivered to the fight. At the center of this mission, the Common Mission Control Center (CMCC) unifies data, sensors, mission applications, cloudbased services, and emerging AIenabled automation to give warfighters a decisive edge-turning complex, multidomain information into fast, clear, and actionable decisions in the moments that matter most. The CMCC System Facilitator contract positions SAIC to accelerate how new capabilities are integrated, tested, secured, and transitioned into operational use, working sidebyside with operators, engineers, Capability Providers, and government teams to ensure every delivery strengthens mission readiness. We are seeking a Systems Engineer - Modeler to lead MBSE driven architecture, requirements, and interface modeling for...

Description SAIC is a trusted leader in delivering advanced commandandcontrol capabilities across the Department of the Air Force, bringing deep expertise in how cuttingedge technologies are engineered, secured, and delivered to the fight. At the center of this mission, the Common Mission Control Center (CMCC) unifies data, sensors, mission applications, cloudbased services, and emerging AIenabled automation to give warfighters a decisive edge-turning complex, multidomain information into fast, clear, and actionable decisions in the moments that matter most. The CMCC System Facilitator contract positions SAIC to accelerate how new capabilities are integrated, tested, secured, and transitioned into operational use, working sidebyside with operators, engineers, Capability Providers, and government teams to ensure every delivery strengthens mission readiness. We are seeking a Systems Engineer - Modeler to lead MBSE driven architecture, requirements, and interface modeling for...

Description SAIC is seeking a talented and experienced Machine Learning Developer to join our dynamic team. This position is hybrid in Arlington, VA with 2-3 days per week onsite at the Pentagon or the Mark Center. The ideal candidate will have a strong background in computer science, software engineering, and experience with machine learning algorithms and frameworks. The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production. Key Responsibilities: Develop and implement machine learning models and algorithms to provide suggested values to readiness reports for our DOD client. Refine data collection processes and improve data quality. Design and develop scalable machine learning solutions for various applications. Work with software developers to integrate machine learning models into production systems. Conduct research to identify new...