Pressure is an important physical signal that characterizes the operating performance of aero-engine. A design based on PSO-BP temperature compensation algorithm for intelligent pressure sensor is proposed for the high-precision measurement requirement of pressure signal. Micro-electro-mechanical system （MEMS） piezoresistive sensor is selected as the sensing module， and the hardware and software architecture of the intelligent pressure sensor is designed through modularization scheme. An embedded temperature compensation algorithm based on PSO-BP neural network is proposed to enhance the measurement accuracy in response to the problem of accuracy deviation of pressure sensor element due to temperature drift. The integration of hardware and software functions of intelligent sensor are carried out， and the pressure measurement experiments under different pressure and temperature conditions are conducted in order to verify the accuracy of intelligent sensor in the full range of operating conditions. The results show that the maximum full-scale error of the intelligent pressure sensor designed is 0.44% （Measurement range 0—4 MPa） after compensation， which improves the accuracy by at least 20% compared with temperature compensation algorithms such as the traditional interpolation method and polynomial fitting method， and the temperature compensation algorithm only takes 2 μs for a single time， which is valuable for engineering application.