AI-Driven 4G PHY SW Engineer

Parallel Wireless • Bachelor's Degree • C++ • MATLAB • Python • 7 hours ago
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Salary
≈ $71k – $209k per year (Estimated)
Location
Remote/Hybrid (Kfar Saba, Israel)
Seniority
Junior · 2+ years exp
Employment
Full-Time
Overview
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Parallel Wireless

Parallel Wireless is a telecommunications software and hardware company headquartered in Nashua, New Hampshire, and founded in 2012. The company develops cloud-native Open RAN (Radio Access Network) solutions that support 2G, 3G, 4G, and 5G technologies through software-defined radios and network automation tools. It serves mobile network operators and private industries globally, providing interoperable infrastructure designed to reduce deployment costs and increase operational efficiency.
parallelwireless.com • HQ: Nashua, United States • Network Equipment • Mobile Networks • Telecom Infrastructure • Telecommunications • Hardware • Wireless • Est. 2012

Build the software behind next-generation cellular networks. We’re looking for a driven PHY SW Engineer to join our R&D team and help develop advanced, carrier-grade 4G cellular communication solutions that push performance, reliability, and AI driven development forward.

What you will do:

  • Design and build high-performance digital processing software for the baseband modem.
  • Optimize, debug, and root-cause complex real-time issues in carrier-grade systems.
  • Integrate, test, and bring up software modules all the way into the product.
  • Help shape software architecture for advanced cellular PHY solutions.
  • Apply agentic software development and LLM-based workflows

What you should have:

  • 2+ years of hands-on software development experience with a strong focus on C++ and object-oriented design.
  • Excellent C++ skills and solid Python experience.
  • Hands-on experience with agentic software development and LLM-based workflows, with a basic understanding of AI internals and RAG.
  • Confidence working with Git, CI/CD pipelines, and Agile development practices.

Nice to have:

  • Arm architecture experience.
  • AVX, Neon, or SIMD programming background.
  • Kubernetes experience.
  • MATLAB experience.
  • Knowledge of 4G/5G 3GPP standards or similar technologies.
  • Background in digital signal processing or wireless PHY layer technologies.

Education:

    BSc in Electronics, Communication Engineering, Computer Engineering, Software Engineering, Signal Processing, or another relevant engineering discipline.

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