Role Overview: We are looking for a visionary AI Algorithm Engineer to redefine wireless performance through machine learning. You will design, train, and deploy AI models for RAN optimization—such as beamforming, channel estimation, and traffic steering—and work closely with hardware teams to see your algorithms running on live FPGA prototypes.
Key Responsibilities: Algorithm Innovation:
Develop state-of-the-art AI/ML models (Deep Learning, Reinforcement Learning) to solve complex RAN challenges like Massive MIMO, interference cancellation, or slicing. Model Optimization:
Perform hardware-aware training, including pruning, clustering, and INT8/FP16 quantization tailored for FPGA/DSP deployment. End-to-End Simulation:
Build link-level and system-level simulators in Python/PyTorch or MATLAB to validate AI gains against traditional signal processing methods. Demo Implementation:
Lead the End-to-End demo logic—integrating real-world RF data, AI inference results, and visual...