IDA operates three FFRDCs (Federally Funded Research and Development Centers) advising U.S. government sponsors on defense, space, and national security strategy. The tech stack—heavy on high-performance computing (Lustre, Slurm, MPI, CUDA, InfiniBand) paired with simulation tools (AFSIM, STORM) and ML workflows—reflects their core mission: running large-scale mission simulations and operational modeling. Current hiring is research-heavy (21 roles) with accelerating velocity, and pain points around HPC performance, data architecture, and DOD compliance suggest IDA is scaling internal analytics infrastructure to handle classified workloads at greater volume.
Notable leadership hires: Director
IDA is a nonprofit research organization chartered in 1956 to provide objective technical and policy analysis to U.S. government defense and national security agencies. Headquartered in Alexandria, Virginia, IDA employs 1,001–5,000 staff across three FFRDCs: the Systems and Analyses Center, the Science and Technology Policy Institute, and the Center for Communications and Computing. The organization conducts mission-level simulations, system trade-off studies, and operational risk assessments for sponsors in the Department of Defense, Department of Homeland Security, and other federal agencies. Work spans campaign modeling, predictive analytics for career and operational outcomes, and technical evaluation of military and space systems. IDA maintains strict conflict-of-interest protocols and operates in a classified environment with access to sensitive government and corporate proprietary information.
IDA's core stack includes HPC tools (Lustre, Slurm, MPI, CUDA, InfiniBand), simulation software (AFSIM, STORM), and scripting languages (Python, Perl, C++, R). Infrastructure is primarily Linux/Red Hat with Windows endpoints, VMware virtualization, NetApp storage, and Cisco networking.
Current projects include mission-level simulations (AFSIM/STORM), system trade-off studies, operational risk assessments, campaign modeling, ML training for career-event prediction, and DOD/DHS-sponsored predictive modeling. Internal focus includes data architecture improvements and security compliance.
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