Physics-driven R&D and prototyping for undersea and national security systems
APS is a Groton, CT research and engineering firm, owned by General Dynamics, that builds and tests prototype maritime and defense systems. Its stack pairs simulation tools (Abaqus, Nastran, ANSYS, LS-DYNA, MATLAB, Fortran) with hardware design (Altium, VHDL, Zynq, LabVIEW) and PyTorch, pointing to physics modeling, electronics and ML autonomy under one roof. Hiring is overwhelmingly senior engineering, and Microsoft Purview adoption suggests tighter data governance.
Applied Physical Sciences Corp is a privately held research and development company founded in 2002 and headquartered in Groton, Connecticut. It operates as a wholly owned subsidiary of General Dynamics and serves national security customers, including large DoD programs, alongside commercial markets. The company employs 201–500 people and runs its own laboratories and manufacturing facilities for rapid prototyping. Its work centers on underwater maritime systems, subsea acoustic sensing, signal processing, autonomy algorithms and communications for challenged environments, with at-sea experimentation as part of development.
APS uses C++, Fortran, Python, MATLAB, PyTorch, Abaqus, Nastran, ANSYS, LS-DYNA, Altium Designer, LabVIEW, VHDL, Zynq, ROS, SolidWorks, Docker and Rust, and is adopting Microsoft Purview.
Projects include next-generation underwater maritime systems, subsea acoustic and autonomy algorithms, high-power acoustic transmit arrays, command and control interfaces, challenged-environment networking and at-sea experiments.
APS is a wholly owned subsidiary of General Dynamics, headquartered in Groton, CT, with 201–500 employees and founded in 2002.
Other companies in the same industry, closest in size
Applied Physical Sciences Corp (APS)'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.