One of the most important national tasks of the current administration is to realize social value and boost the economy. In the road sector, it is particularly important to ensure the road sectors public good and create jobs based on the Framework Act on the Realization of Public Institutions’ Social Value (Proposal). In regard to job creation in the road sector, however, there has so far been a lack of career management for construction engineers. In this regard, this study used Monte Carlo simulation and analyzed how to estimate the amount of manpower required to efficiently manage engineering human resources in the road sector. Monte Carlo simulation uses random numbers for prediction and estimation, extracts values repeatedly from a probability distribution predefined by the user, and performs tasks on various scenarios. This study made the following assumptions for the analysis: (a) researchers’ abilities were identical; (b) the research project was analyzed on a 1 year basis while technical advice was analyzed on a 9-week basis to reflect the characteristics of the road sector; (c) technical advice had the same probability from Week 1 to Week 52; (d) the amount of manpower required for a project carried over to the next year was input at the beginning of the year; and (e) the largest amount of manpower required at any particular time in a year was calculated and estimated as required manpower. The input variables were an estimated number of project and technical advice in each research field while the output variables were the amount of manpower and technical advice required for each research project. Simulation was performed 10,000 times. An analysis found that required number of manpower for case analysis was 75 as opposed to the current number of 66, assuming that 57 research projects were undertaken and technical advice was provided 223 times. Every sector is making efforts to create social value through various means. The field of construction social overhead capital is no exception. It has undertaken a very important task to ensure the role of roads in public good and create jobs. However, there is still a lack of objective approach to estimate the required amount of manpower. Thus, as done in this study, calculating required manpower through the simulation method would be useful as an objective evidence for job creation.