Technical Lead, Artificial Intelligence

Parallelwireless · Kfar Saba · היברידי · פורסמה לפני 43 ימים

כדי להגיש, לשמור או לפתוח את דף המשרה מתחברים עם Google. זה חינם, ואחרי ההתחברות חוזרים ישר למשרה הזו.

תקציר

We are building the AI layer of the Radio Access Network, applying agentic AI, machine learning, and LLMs to real RAN challenges — from network operations and root cause analysis to PHY simulation and uplink link adaptation.

דרישות

• Hands-on experience in RAN, wireless infrastructure, telecom operators, or chipset companies. (advantage)
• Knowledge of O-RAN, RIC, rApps/xApps, and E2/A1/O1 interfaces. (advantage)
• Experience with link adaptation, scheduling, RRM, channel modeling, or PHY simulation. (advantage)
• Experience with reinforcement learning or contextual bandits for real-world control problems. (advantage)
• Experience deploying ML models in real-time or resource-constrained environments. (advantage)
• Background in signal processing, communications, or information theory. (advantage)
• M.Sc. / Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or a related field. (advantage)