This paper presents the results of design space exploration (DSE) for the memory-macro placement of a low-power Artificially Intelligent (AI) processor provided by our industry partner in a collaborative project. The commercially available physical design CAD tools for the automatic placement of macros often give unoptimized macro placements that have a large area and total wire length when compared to the manual placement of macros. The goal of this research is to obtain an optimized memory macro placement for the AI processor that provides the lowest possible area, power, wire length, and improved utilization through custom automation to accelerate time. A relative memory macro placement methodology is developed to ease the process of placing the macros. The idea behind the relative placement is that a rectangular object can be placed at 16 different positions around another rectangular object depending on its length and width. Using this methodology for macro placement resulted in a 25% improvement in area requirements, 29% reduction in total power, 40% points improvement in utilization, and a 50% decrease in the wire length when compared with the results for tool placement. Further, the methodology reduced the hand-placement time for memory macros from 2–3 weeks for part of the design to 3–4 days for the complete design.