知存科技 2026 届校招启动：这类半导体人才将成香饽饽

Core Viewpoint - The article discusses the challenges faced by traditional chip architectures due to the rise of generative AI models and the emergence of in-memory computing technology, which significantly enhances AI computing efficiency and is seen as a disruptive technology in the post-Moore era [1][3]. Group 1: In-Memory Computing Technology - In-memory computing technology has gained traction as it addresses the "storage wall" and "power wall" issues inherent in the von Neumann architecture, leading to a potential efficiency improvement of several times in AI computing [1][3]. - The in-memory computing chips developed by Zhichun Technology have already served over 30 clients in commercial applications, showcasing the technology's practical viability [5]. Group 2: Talent Acquisition and Development - Zhichun Technology has launched the "Genius Doctor Program" for 2026, aiming to attract top talent in semiconductor devices, circuit design, and AI algorithms, reflecting the industry's talent competition amid rapid technological advancements [1][7]. - The program offers a unique growth system that includes mentorship and rotation across core R&D positions, allowing participants to gain comprehensive experience in the technology development process [7][10]. Group 3: Industry Trends and Future Outlook - The semiconductor industry is expected to face a talent shortage of over 300,000 professionals by 2025, highlighting the urgency for companies to develop and attract skilled individuals [1]. - The current phase of in-memory computing technology is critical as it transitions from "production validation" to "scale application," indicating a pivotal moment for the industry [12].