Senior Software Engineer, AI
Thomson Reuters
Posted 7 hours ago
Virginia Tech
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Job Description The Virginia Tech National Security Institute (VTNSI) is a national leader in advancing security and resilience through innovative and applied research, empowering the next generation of experts, and building strategic alliances to address evolving national security challenges. We bring together exceptional interdisciplinary faculty, unique research infrastructure, and deep partnerships with industry and government sponsors to execute impactful research and development. The Virginia Tech National Security Institute’s (VTNSI) Intelligent Systems Division (ISD) is seeking to fill an entry-level/junior-level software developer position and join our team at the forefront of research and development on artificial intelligence and systems engineering. With a presence in both Blacksburg and Washington, D.C. metro areas, VTNSI serves dual missions of (1) performing cutting-edge research and development for externally sponsored Department of Defense and Intelligence Community programs and (2) cultivating the next generation of national security workforce and thought leaders by engaging students in curricular, extracurricular, and research and development opportunities. As one of the fastest growing thematic research institutes at Virginia Tech, sponsors and collaborators benefit from VTNSI through both highly experienced student talent pipelines and senior technical leadership that addresses some of our nation’s greatest national security challenges and threats. VTNSI’s ISD is a leader in research and development in three core capabilities: 1) secure and resilient systems, 2) engineering AI systems, and 3) integrated data and decision systems. To help achieve the overarching aspirations of VTNSI, and the specific technical goals of the ISD, we are looking for applicants with expertise in software development and an interest in working on team-based development projects. An interest in the development of AI-based systems is required while prior knowledge in th
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