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CoVar Tech Stack

ML and signal-processing algorithms for defense and industrial applications

Defense & Space Durham, NC 11–50 employees Founded 2011 Privately Held

CoVar builds custom ML and AI solutions with a hardware-aware stack: Python, MATLAB, C/C++, PyTorch, TensorFlow, and FPGAs. The tech mix—especially FPGA and GPU emphasis alongside classical DSP—indicates focus on real-time, compute-constrained environments typical of defense and industrial RF (radio frequency) work. Active hiring is concentrated in engineering roles at mid-level seniority, matching the project portfolio of RF signal processing and DSP integration.

Tech Stack 13 technologies

Core StackPython MATLAB NumPy pandas PyTorch TensorFlow C/C++ FPGAs YOLO Git Microsoft Office FPGA GPU

What CoVar Is Building

◆Challenges

Real-world customer problems

▲Active Projects

Rf signal processing algorithm development
Rf simulation model development
Dsp integration into rf systems

Hiring Activity

Accelerating5 roles · 4 in 30d

Department

Engineering

4

Ops

1

Seniority

Mid

5

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About CoVar

CoVar is a machine learning and software company serving defense, healthcare, and industrial sectors from Durham, NC. Founded in 2011, the company specializes in custom algorithm development, with particular depth in RF signal processing and digital signal processing (DSP) integration. The 11–50-person team operates lean, with engineering focused and hiring velocity accelerating. Projects center on RF simulation models and signal-processing algorithms deployed into constrained hardware environments.

HeadquartersDurham, NC

Company Size11–50 employees

Founded2011

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does CoVar use?

Python, MATLAB, C/C++, PyTorch, TensorFlow, NumPy, pandas, YOLO, FPGAs, and GPUs — a mix emphasizing real-time signal processing and hardware acceleration for RF applications.