Hi Aditya,

Thank you for asking this question — it’s a significant topic, especially as AI is becoming part of almost every layer of the network stack.
For a RAN protocol layer developer, enhancing your career today means combining strong traditional skills — deep understanding of 3GPP standards, Layer 2 and Layer 3 protocols, and system-level debugging — with new competencies around AI and automation.
Familiarity with tools like Python and TensorFlow, as well as working with large datasets from RAN performance monitoring, can help bridge traditional telecom and AI.
Also, being open to cross-domain collaboration — for example, working closely with data scientists or cloud engineers — will make you stand out as the industry evolves toward AI-driven solutions.
I hope this gives you a good perspective on how to shape your career path in this evolving space.

30 October, 2025 12:59