Defense radar simulation and hardware-in-the-loop testing with embedded security focus
SimTech builds radar simulation platforms and hardware-in-the-loop test environments for defense applications, with deep expertise in FPGA design, embedded systems (Verilog, VHDL, C++), and RF/SoC integration. The tech stack reveals a manufacturing-heavy operation—9 of 13 active hires are in manufacturing roles—paired with core FPGA and embedded engineering work on custom RF hardware and system integration. Active CMMC Level 2 compliance efforts and security scanning pipeline integration signal a defense contractor navigating tightening cybersecurity and compliance requirements.
SimTech is a 40-year-old defense technology company based in Huntsville, Alabama, specializing in radar simulation, scene generation, and hardware-in-the-loop testing for military applications. The company develops radar target models, environment simulators, and custom FPGA-based RF hardware (including RFSoC boards for missile integration), alongside embedded software and cybersecurity services. Current operational challenges center on integrating multiple independent systems into cohesive architectures, maintaining IT infrastructure across distributed sites, and achieving CMMC Level 2 and STIG compliance—a compliance-heavy profile typical of mid-tier defense contractors. The accelerating hiring velocity, concentrated in manufacturing, reflects production scaling or supply-chain build-out.
SimTech uses Verilog, VHDL, FPGA tooling, Python, MATLAB, C++, Linux, Docker, GitLab CI/CD, Jenkins, and embedded protocols (PCIe, UART, I2C). Manufacturing workflow tools include Ansible, Chef, Puppet, and Fanuc robotics integration.
Active projects include custom RFSoC board design for hardware-in-the-loop missile integration, FPGA digital system design, system-of-systems architecture integration, CMMC Level 2 compliance implementation, security scanning pipeline integration, and embedded application development for defense platforms.
Other companies in the same industry, closest in size