Core Insights - The article discusses the ongoing recruitment efforts of "Mushroom Car Union," a technology company specializing in AI networks and autonomous driving, targeting graduates from 2025 and 2026 [2] - The company aims to attract cross-disciplinary talent with both technical sensitivity and business acumen to support its dual-engine strategy of "AI network + autonomous driving" [2][5] Recruitment Strategy - The recruitment focuses on technical product development roles, including AI algorithm development, large model deployment, and simulation system development, as well as positions in strategic analysis, marketing, human resources, and finance [6][7] - The company emphasizes the need for candidates to have a passion for AI and autonomous driving, with a focus on problem-solving abilities and project experience [23][24] Company Development and Competitive Edge - The company's competitive advantage lies in three main areas: differentiated technology with its self-developed MogoMind model, extensive real-world application experience, and successful global project validation, such as winning a contract for an L4 autonomous bus project in Singapore [5][6] - The MogoMind model addresses the limitations of traditional AI by enabling real-time perception and global cognitive systems, allowing for dynamic responses to changes in the physical world [5][19] Talent Development and Culture - The company adopts a "full-cycle empowerment" approach to talent development, offering structured support from recruitment to promotion [8][10] - A dual-channel talent development path is established, allowing employees to specialize in technical fields or pursue management roles, ensuring alignment with both personal and company goals [11][12] Industry Trends and Challenges - The autonomous driving industry is experiencing a shift from rule-driven to cognitive-driven technology, emphasizing the need for collaboration among various stakeholders [17][18] - The company identifies two major challenges in AI development: the lack of real-time physical world perception and the absence of a comprehensive AI cognitive system [19][20] Vision and Future Goals - The company's vision is to become a global leader in physical world intelligent services through its dual-engine strategy, aiming to enhance safety in autonomous driving and improve urban traffic efficiency [25][26] - The ultimate goal is to integrate AI into everyday life, transforming urban transportation and services [25][26]