AI-Driven 4G PHY SW Tech Lead

Parallel Wireless

Kfar Saba Full-time Posted 2w ago
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We are looking for a AI-Driven 4G PHY SW Tech Lead to work on the architecture, implementation, and real-time optimization of the LTE Layer 1 (PHY) software stack. You will be a technical authority for the domain, working across MAC, System, Integration, QA, and Product Management to deliver carrier-grade Open RAN solutions. A core part of the role is advancing how the team applies AI and agentic software development to a large, high-performance codebase, accelerating design, debugging, and delivery. WHAT YOU WILL DO: * Lead the design, development, and evolution of the LTE Layer 1 (PHY) software stack. * Drive PHY features end to end: architecture, implementation, optimization, testing, and production support. * Drive performance optimization, debugging, and root cause analysis for carrier-grade real-time reliability. * Shape the software architecture and technical roadmap of our Open RAN platform. * Mentor engineers, set the bar for engineering practice, and partner with MAC, System Engineering, Integration, QA, and Product Management. * Apply agentic software development and LLM-based workflows, and evaluate new tools as they emerge.   WHAT YOU SHOULD HAVE: * 3+ years as a Technical Lead or Senior Software Engineer on complex software projects. * Strong knowledge of the wireless physical layer (PHY), ideally 4G/5G or another OFDM-based technology. * Hands-on experience with agentic software development and LLM-based workflows, plus a basic understanding of AI internals and RAG. * Excellent C/C++ and multi-threaded development on Linux-based real-time embedded systems. * Solid DSP fundamentals, with a track record of optimizing for latency, CPU, and memory. * Strong debugging and troubleshooting in complex embedded and distributed systems. * Fluent with Git, CI/CD pipelines, and Agile development practices. * Strong communicator who can mentor engineers and guide technical decisions across teams. NICE TO HAVE: * Open RAN (O-RAN) architecture, eNodeB/gNodeB, or baseband software development. * SIMD optimization (AVX, SSE, NEON) on ARM and x86. * MATLAB or Python for algorithm development and validation. * Cloud-native telecom platforms, containerized deployments, or large-scale wireless infrastructure. EDUCATION: * Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Telecommunications, or a related technical field.

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