Seamless Transition from Graduation to Employment: The Training Pathway for IoT On-site Functional Engineers

Abstract

As Internet of Things (IoT) technology permeates and is deployed at scale across numerous industries, there is an urgent industrial demand for engineering talent capable of ensuring that IoT systems achieve their intended functions and operate stably within complex on-site environments. However, existing talent training systems often lag behind the rapid evolution of technology and the changing nature of job roles, resulting in a structural mismatch between the competencies of graduates and the actual needs of the market. This paper focuses on the critical role of the IoT On-site Functional Engineer and aims to explore effective training pathways for this profession. The study first systematically analyzes the evolving definition of this role within the context of industrial upgrading, its specialized sub-directions, and the spectrum of interdisciplinary competencies required by the market. Subsequently, it constructs a core competency model oriented toward the goal of "Seamless Transition from Graduation to Employment," encompassing the three dimensions of technical implementation, scenario application, and professional practice, while elucidating their interrelationships. Finally, it proposes a comprehensive training model and implementation pathway. This model is underpinned by deep industry-education integration as an institutional guarantee, involves restructuring the curriculum system through project-based and work-process-oriented approaches, establishes a continuous, closed-loop practical teaching framework, and implements a dynamic evaluation and continuous improvement system. This provides a systematic reference for the targeted cultivation of applied IoT engineering and technical talent.