AI硬件小模型算法工程师
Core
Design and engineer AI algorithms for wireless base station communication systems, focusing on nonlinear distortion compensation and hardware-friendly low-bitwidth inference.
Role type
AI hardware small model algorithm engineer
Builds
High-precision, low-complexity real-time AI inference solutions for radio frequency (RF) core algorithms
Domain
Telecommunications + AI/Deep Learning
Deliverable
production ML models
Required skills
Deep learning (CNN, RNN, Transformer), model compression (quantization, pruning), low-bitwidth training and inference, optimization algorithms (Newton, genetic, Bayesian), digital signal processing, simulation tools (Python, Matlab)
Preferred skills
Interdisciplinary background in microwave and AI, experience with AI-DPD or AI-PIMC models
Technologies
CNN, RNN, Transformer, Python, Matlab
Responsibilities
Research and design next-generation AI nonlinear regression models for DPD and PIMC; Develop model lightweighting and efficient training schemes for RF I/Q signals
Seniority
Mid-to-Senior, hands-on IC