该职位来源于猎聘 Qualification & Requirements 1)Proficient in PyTorch/TensorFlow for developing predictive models 2)Experience with time-series analysis and regression modeling 3)Familiarity with reinforcement learning for optimizing dynamic systems 4)Python scripting for data analysis and automation 5)Git for version control of models and firmware 6)MATLAB/Simulink for system modeling 7)Basic knowledge of PCB design principles
8)Familiarity with firmware debugging tools Duties & Responsibilities 1)Create AI/ML pipelines that interface with FW development tools and EE CAD software; 2)Develop scripts to translate ML insights into actionable hardware/firmware specifications; 3)Work with FW engineers to integrate AI optimization modules into embedded code; 4)Partner with EE teams to validate ML-predicted hardware improvements through prototyping; 5)Develop predictive models to analyze firmware performance (e.g., latency, power consumption) and hardware behavior (e.g., thermal distribution, signal integrity) 6)Use machine learning to identify bottlenecks in embedded systems and propose optimization strategies; 7)Build digital twins of hardware components (e.g., power management circuits, sensor arrays) using AI simulations; 8)Optimize PCB layouts and firmware algorithms based on ML-predicted performance metrics;