英伟达的芯片业务如日中天，「创二代」们却在积极为公司开新路。近年来，英伟达创始人黄仁勋的一对子女Madison和Spencer，相继加入父 亲一手创办的企业，但他们并没有进入芯片核心业务，而是在探索数字孪生、AI等新兴业务。 在硅谷科技公司中，创始人大都很年轻，还远没到为企业考虑接班人的阶段。 有些年头的，像谷歌、微软、苹果这些科技巨头，也没有如传统行业那样，通过家族传承来寻找接班人。 「全球市值王」英伟达，似乎是个「异类」。 2020年以来，黄仁勋的两个儿女Madison和Spencer，相继入职英伟达: 一人任高级总监；另一人任产品线经理。 就连Madison的男朋友Nico Caprez，也加入了英伟达，担任企业发展经理。 不止黄仁勋的子女，许多英伟达高管的子女，也与父母在同一家公司上班。 看来老黄一点也不担心「裙带关系」「任人唯亲」会影响英伟达的发展。 他真的是把英伟达，做成了大家的事业。 英伟达「第二代」 与「亿万富豪」老爸一起上班，是什么感觉？ 如今，黄仁勋的一双儿女，均已在英伟达担当要职，与父亲一起并肩作战。 英伟达创始人兼CEO黄仁勋（中），与儿子SpencerHuang（左）女儿Madiso ...

Core Viewpoint - The article highlights the career paths of Jensen Huang's children, Madison and Spencer, who have both taken on significant roles at NVIDIA, emphasizing their unique journeys and contributions to the company's future directions in simulation and robotics [1][5][41]. Group 1: Madison Huang - Madison Huang, aged 34, is the Senior Director of the Omniverse simulation software department at NVIDIA, having joined the company in 2020 [9][4]. - Her total compensation for the fiscal year 2025 is reported to be $1.1 million, which includes salary, bonuses, and other benefits [10]. - Madison's career began in culinary arts, earning a degree in Culinary Arts Management in 2012, and she later transitioned to marketing roles in the luxury goods sector before joining NVIDIA [13][16][19]. Group 2: Spencer Huang - Spencer Huang, aged 35, serves as the Robotics Product Line Manager at NVIDIA, responsible for developing AI models and simulation software for robotics, with a reported annual salary of $530,000 [22][23]. - He joined NVIDIA in 2022, initially as a product manager for the Isaac Sim Cloud team, and has a background in international marketing and cultural studies [32][33]. - Prior to his role at NVIDIA, Spencer operated a cocktail bar for eight years, which gained international recognition [35][40]. Group 3: Educational Background and Skills - Both Madison and Spencer have MBA degrees, with Madison graduating from the London Business School and Spencer from New York University [7][27]. - They both participated in short-term executive courses at MIT, focusing on AI, with Spencer also studying human-computer interaction [18][26]. - Their diverse educational backgrounds and experiences reflect a non-linear path to their current positions at NVIDIA, showcasing their adaptability and skill development [40].