Carnegie-Mellon University

Carnegie Mellon University's Office of Sponsored Programs Division, a tax-exempt private research university based in Pittsburgh, Pennsylvania, operates as a federal grant and contract recipient across civilian science agencies and defense components. The university operates almost exclusively as a prime recipient (91% of awards) and does not compete under small-business set-asides; all recent awards carry full-and-open or merit-based designations reflecting its status as an established research institution.

Carnegie Mellon delivers concrete research and educational services across multiple disciplines: artificial intelligence and machine learning training programs; advanced robotics and autonomous systems development; quantum computing architectures; computational biology and genomics analysis; neuroscience research infrastructure; biomedical device and tissue engineering; materials science and computational chemistry; climate and atmospheric research; and advanced cybersecurity education. Representative work includes a $25 million IDIQ with the Defense Department's Acquisition Support Center for comprehensive AI training and curriculum development through January 2031; a $1.855 million delivery order from the Department of the Army for AI-related training programs and certification support; a $10 million Cooperative Agreement from the Advanced Research Projects Agency for Health (ARPA-H) to develop 3D bioprinted liver tissue constructs through collaborative work with the University of Pittsburgh, University of Washington, Mayo Clinic, and other partners; and a $1.692 million grant from the National Science Foundation's Division of Mathematical Sciences establishing the Institute for Computer-Aided Reasoning in Mathematics (ICARM).

Federal customer concentration reflects the university's research footprint. NSF dominates by award count (1,514 awards across multiple divisions), followed by the Department of the Navy (458 awards), Department of the Air Force (310 awards), and Department of the Army (290 awards, $165.2 million combined potential value). By potential value, the Army Materiel Command RDECOM leads ($179.1 million across 97 awards), followed closely by the Army proper ($165.2 million), the National Institutes of Health ($76.8 million), DARPA ($66.6 million), and NASA ($54.8 million). The top five funding entities account for 57% of total potential value across the portfolio, but diversification across 210 distinct customer agencies mitigates concentration risk. NSF represents the largest single source by award volume but a smaller share of dollar value, while defense agencies and NIH anchor the highest-value programs.

Carnegie Mellon holds position on multiple parent vehicles. The most active are Indefinite Delivery Contracts issued by Air Force (F0160078D0083, 46 task orders) and Navy (N0018919GZ072, 31 task orders, $9.3 million combined potential value), plus three additional Air Force IDCs with 22, 16, and 13 task orders respectively. The vendor's capacity to place work against these vehicles reflects its standing as a trusted prime for research and development across federal customers.

Recent activity shows flat-to-declining trajectory. Awards-per-year data illustrate 262 awards in 2022 rising to a peak of 320 in 2024, then declining to 278 in 2025 and 94 in 2026 (a partial-year figure). The declining 2025–2026 trend is consistent with snapshot timing; the portfolio shows 251 awards with ultimate completion within the next 24 months (combined potential value $30.8 million) facing recompete. This recompete window is decision-relevant for federal contractors seeking teaming or subcontracting opportunity: significant grant and contract renewals will cycle through federal agencies across 2026–2027.

In its sub role, Carnegie Mellon participates as a research collaborator under prime recipients including HRL Laboratories (cognitive modeling for cybersecurity), DCS Corporation (sensor and software system upgrade for Army vehicle systems), George Washington University (PFAS remediation research), Vanderbilt University (DARPA V-SPELLS program), and multiple universities as sub-grantee on NSF, NIH, and NSF-adjacent research programs. The university's subcontract posture reflects its primary identity: nearly all sub work is research collaboration rather than service delivery, with named sub-awardees including the University of Pittsburgh (cell biology, cardiac research, neuroscience), University of Washington (cognitive architecture), and specialized research centers (Mayo Clinic, Caltech, Rice University) as collaborators on large NIH and NSF awards.

Service Contract Inventory data covers only nine prime SCI records across FY2022–FY2024, with total invoiced revenue of $8 million and 3.1–15.7 FTEs per fiscal year. SCI is a narrow view of Carnegie Mellon's federal activity—it excludes grants (the majority of the research portfolio), goods, and non-service work—and reflects only service contracts above the $150,000 threshold. Government-paid hourly rates on those captured contracts ranged from $76.53/hr (10th percentile) to $161.28/hr (median $112.19/hr), reflecting the university's position as a research institution with mixed graduate-student, postdoctoral, and senior-faculty labor composition. The university does not systematically engage subcontractors for service delivery; sub-hours share was zero across prime SCI records reviewed.

Carnegie Mellon's federal award portfolio is characterized by academic research primacy, multi-agency customer relationships, and defensive position in quantum computing, AI/machine learning, neuroscience, and biomedical engineering domains. Recompete exposure in the next 24 months ($30.8 million) and declining 2026 award volume suggest selective portfolio maturation; prime contractors considering partnerships should assess teaming opportunity against specific technical domains (AI training, robotics, computational biology) where the university's research capacity and prime status align with federal spending priorities.