AI-Driven 4G PHY SW Tech Lead

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.