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Applied Physical Sciences Corp (APS) Tech Stack

Defense R&D for subsea systems and advanced signal processing

Defense and Space Manufacturing Groton, CT 201–500 employees Founded 2002 Privately Held

Applied Physical Sciences is a General Dynamics subsidiary building underwater maritime systems, acoustic arrays, and autonomy algorithms for defense and national security applications. The tech stack—SolidWorks, MATLAB, ANSYS, LS-DYNA, PyTorch, ROS, FPGAs—reflects a hardware-heavy engineering operation balancing physics simulation, embedded systems, and ML. Active hiring is heavily weighted toward senior and principal engineers (12 of 33 open roles), signaling demand for domain expertise in complex system design rather than scaling junior IC headcount.

Tech Stack 46 technologies

Core StackSolidWorks MATLAB C++ Python PyTorch Java Docker MongoDB TypeScript Mathcad Arduino Raspberry Pi Fortran ABAQUS NASTRAN ANSYS LS-DYNA Altium LTspice National Instruments LabVIEW C/C++ IGBT RS-232 RS-422 I2C Protocol Buffers ROS FPGAs VHDL+16 more

What Applied Physical Sciences Corp (APS) Is Building

Challenges

  • Complex system design challenges
  • Obtaining approval to operate for systems through dcsa and other agencies
  • Rigorous design requirements
  • Communication protocols in challenged environments
  • Difficult national security needs
  • Complex electrical ocean systems
  • High complexity mixed-signal pcbs
  • Large dod programs
  • Recruiting specialized technical talent
  • Improving reporting and visualization

Active Projects

  • Command and control interfaces, simulations, and visualizations
  • Prototype and testing of integrated systems
  • Acoustic, signal processing and autonomy algorithms for subsea sensor systems
  • Communication and networking protocols in challenged environments
  • At-sea experiments
  • Risk management framework documentation for approval to operate
  • Procurement of critical hardware for government contracts
  • Novel maritime technology solutions
  • Underwater maritime systems
  • High-power acoustic transmit arrays

Hiring Activity

Accelerating35 roles · 20 in 30d

Department

Engineering
24
Research
4
Data
1
HR
1
Manufacturing
1
Security
1

Seniority

Senior
9
Junior
7
Mid
7
Intern
5
Principal
3
Staff
1
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About Applied Physical Sciences Corp (APS)

Applied Physical Sciences develops specialized technology solutions for national security and commercial markets, with focus on subsea systems, acoustic transmit arrays, and signal processing algorithms. The company operates laboratories and manufacturing facilities in Groton, Connecticut, enabling rapid prototyping and experimental validation. As a wholly owned subsidiary of General Dynamics since its 2002 founding, APS combines the agility of a smaller research firm with access to larger corporate resources. Current project work spans command-and-control interfaces, at-sea experiments, maritime autonomy, and systems integration for government contracts.

HeadquartersGroton, CT
Company Size201–500 employees
Founded2002
Hiring MarketsUnited States

Frequently Asked Questions

What is Applied Physical Sciences' tech stack?

Core tools include SolidWorks, MATLAB, ANSYS, LS-DYNA for simulation; PyTorch and ROS for autonomy; FPGAs and VHDL for embedded systems; and LabVIEW for instrumentation. Languages span C++, Fortran, Python, TypeScript, and Java.

What is Applied Physical Sciences working on?

Projects include underwater maritime systems, high-power acoustic transmit arrays, subsea autonomy and signal processing, command-and-control simulations, communication protocols for challenged environments, and at-sea system testing for government contracts.

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How this profile is built

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.