Synopsys, Inc. (SNPS.US) AgentEngineer's black technology online AI engineers become the "most powerful brain" in chip design.

Global electronic design automation (EDA) giant Synopsys, Inc. (SNPS.US) released revolutionary technology AgentEngineer on Wednesday, marking the formal entry of chip design into a new era of artificial intelligence collaboration. This innovative technology liberates engineers from the tedious work of transistor arrangement, instead allowing AI systems to take over the entire design process from individual chips to ultra-large-scale server systems. At the annual user conference held in Santa Clara, Synopsys CEO Sassine Ghazi revealed a major industry transformation facing the industry: top customers like NVIDIA Corporation (NVDA.US) are no longer satisfied with traditional single-chip designs, but are now developing integrated AI server systems with hundreds or even thousands of chips, requiring annual iterations and upgrades. This explosive complexity growth has pushed traditional design patterns to the brink of collapse. "The new AI computing platform can be called an engineering miracle, but the design difficulty has exceeded human limits," Ghazi said. "Engineers not only have to deal with exponential complexity growth, but also face the triple challenge of market speed and cost control." AgentEngineer technology adopts a hierarchical empowerment strategy. In the initial stages, AI agents will act as intelligent assistants to human engineers, carrying out specialized tasks such as circuit design verification. The long-term plan is more disruptive AI will manage complex systems containing thousands of heterogeneous chips and components, automatically coordinating the design process to ensure projects are delivered on time. Synopsys technology and development director Shankar Krishnamurthy emphasized in an interview: "When the R&D team size cannot expand linearly, AI becomes a key lever to increase R&D productivity." He pointed out that through intelligent allocation of computing resources and optimization of design options, AI can multiply the efficiency of existing teams, breaking through traditional human resource bottlenecks. This technology release comes at a major turning point for the semiconductor industry. As the demand for computing power explodes with new technologies such as AI large models and autonomous driving, traditional manual design can no longer meet the needs of annual iterations of multi-chip systems. Synopsys' AI solution essentially transforms chip design from "labor-intensive" to "intelligence-driven", redefining the core value of EDA tools. For engineers, this means liberation from repetitive transistor arrangement work and a focus on architectural innovation and system optimization. As Ghazi paints the vision: "In the future, engineers will have intelligent design partners to jointly address all challenges from individual chips to super systems." This AI-driven EDA revolution may reshape the innovation speed and economic efficiency of the entire semiconductor industry.