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DeepSig, Inc. Tech Stack

AI-native wireless platform for spectrum sensing and Open RAN systems

Software Development Arlington, Virginia 11–50 employees Founded 2016 Privately Held

DeepSig builds deep-learning software for wireless communications, working across spectrum sensing, 5G/Open RAN systems, and defense applications. The tech stack—TensorFlow, PyTorch, NVIDIA Sionna, O-RAN, and 3GPP standards—reflects a company solving signal-processing problems with ML rather than traditional DSP. Active projects span 6G research, Open RAN distributed-unit testing, and CI/CD automation for wireless systems, while pain points cluster around deterministic low-latency performance and transitioning R&D into deployable defense systems.

Tech Stack 45 technologies

Core StackTensorFlow PyTorch Python Java C++ Linux Docker Kubernetes C/C++ GPU DSP CUDA O-RAN 3GPP Bash SDN vRAN 5G Open RAN NVIDIA Nsight Systems Intel ARM DPDK NVIDIA Sionna CI/CD TCP/IP UDP Transformers NVIDIA GPU TensorRT+15 more

What DeepSig, Inc. Is Building

Challenges

  • Expanding defense business
  • Navigating federal acquisition process
  • Replacing traditional signal processing with machine learning
  • Transition cutting-edge r&d into deployable systems
  • Integrating advanced wireless technologies into defense systems
  • Low-latency engine
  • Deterministic microsecond latency
  • Last mile performance challenges
  • Expanding devops capabilities
  • Optimizing ci/cd infrastructure

Active Projects

  • 6g ran ai/ml research
  • Real-time latency-sensitive applications
  • Performance verification tools
  • Du/cu hardware and software releases
  • 5g nr system implementation and validation
  • O-ran distributed unit (du) testing
  • Ci/cd pipeline automation for o-ran testing
  • Omniphy-5g software product
  • Futureg program
  • 5g program

Hiring Activity

Accelerating10 roles · 5 in 30d

Department

Engineering
9
Product
1
Sales
1

Seniority

Senior
8
Director
2
Intern
1
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About DeepSig, Inc.

DeepSig develops AI-powered wireless communications software for licensed spectrum, shared spectrum, and Open RAN environments. The company targets tactical and commercial wireless operators, with growing emphasis on defense-sector applications. Core capabilities include spectrum sensing, radio performance optimization, and network automation using deep learning and signal processing. The organization is engineering-heavy (9 of 11 roles) with senior and director-level hiring focus, reflecting the complexity of wireless protocol implementation and ML systems integration required for their customer base.

HeadquartersArlington, Virginia
Company Size11–50 employees
Founded2016
Hiring MarketsUnited States

Frequently Asked Questions

What is DeepSig's tech stack?

DeepSig uses TensorFlow, PyTorch, NVIDIA Sionna, O-RAN, 3GPP standards, CUDA, and GPU acceleration. Development spans Python, C++, Java, and Bash, with containerization (Docker, Kubernetes) and CI/CD pipelines for Open RAN system testing.

What is DeepSig working on?

Active projects include 6G AI/ML research, Open RAN distributed-unit testing, 5G NR system implementation, real-time low-latency applications, CI/CD pipeline automation for wireless systems, and the OmniPhy-5G software product.

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