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The traditional personnel recruitment is less efficient and difficult to find the talent that meets the job requirements. This paper firstly constructs the personnel management system of colleges and universities, and clarifies the recruitment process and information management program. Secondly, collect the recruitment information in the personnel management system of colleges and universities, and utilize the fuzzy C class mean algorithm to cluster the user portraits of the applicants to get the user characteristics of different positions. Finally, the joint embedded neural network is used to match the user portraits and positions, set the relevant objective function value, minimize the value of the objective function, and complete the matching of positions. In the personnel management system of colleges and universities, the application and exploration of the application of big data technology in intelligent recruitment found that the job matching rate is high, the highest is about 98.1%, the efficiency of recruitment is faster, the job release to the candidate onboarding only takes 25 days, and the system’s shortest response time is 0.5 s. The high efficiency of the talent recruitment of big data technology can provide timely feedback on the effect of interviews, reduce the cost of interviews, reduce the burden of the staff, and promote the intelligent recruitment of talent. Burden and promote the intelligent development of talent recruitment.