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AI-Driven 4G PHY SW Engineer

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation throu

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Parallelwireless Source published Sep 2, 2026 Verified 1 hour ago
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Overview

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation throu

Full job description

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values.

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.

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

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.

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.

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

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