AI-Driven 4G PHY SW Tech Lead

Kfar Saba • Full Time

Posted 2mo ago

Remote Work Policy

On-site

Employment Type

Full Time

Categories

AI Agent Engineer

About the job

We are seeking an AI-Driven 4G PHY SW Tech Lead to spearhead the architecture, implementation, and real-time optimization of the LTE Layer 1 (PHY) software stack. In this role, you will serve as a technical authority, collaborating across MAC, System, Integration, QA, and Product Management to deliver carrier-grade Open RAN solutions. A key aspect of this position involves advancing our application of AI and agentic software development within a large, high-performance codebase to accelerate design, debugging, and delivery.

Responsibilities

  • Lead the design, development, and evolution of the LTE Layer 1 (PHY) software stack.
  • Drive PHY features end-to-end, including architecture, implementation, optimization, testing, and production support.
  • Optimize performance, debug issues, and perform root cause analysis for carrier-grade real-time reliability.
  • Shape the software architecture and technical roadmap for the Open RAN platform.
  • Mentor engineers, establish engineering best practices, and collaborate with cross-functional teams.
  • Apply agentic software development and LLM-based workflows, and evaluate emerging tools.

Requirements

  • 3+ years of experience as a Technical Lead or Senior Software Engineer on complex software projects.
  • Strong knowledge of wireless physical layer (PHY), preferably 4G/5G or other OFDM-based technologies.
  • Hands-on experience with agentic software development and LLM-based workflows, with a foundational understanding of AI and RAG.
  • Proficiency in C/C++ and multi-threaded development for real-time embedded systems on Linux.
  • Solid DSP fundamentals and a proven track record of optimizing for latency, CPU, and memory.
  • Strong debugging and troubleshooting skills in complex embedded and distributed systems.
  • Fluent with Git, CI/CD pipelines, and Agile development practices.
  • Excellent communication skills for mentoring engineers and guiding technical decisions.
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Telecommunications, or a related technical field.

About Parallel Wireless

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