{"id":34223,"date":"2026-06-30T14:16:22","date_gmt":"2026-06-30T12:16:22","guid":{"rendered":"https:\/\/www.chinasmartbuy.com\/blog\/nvidia-assunzioni-cina-robotica-intelligenza-incarnata-isaac\/"},"modified":"2026-06-30T14:16:23","modified_gmt":"2026-06-30T12:16:23","slug":"nvidia-assunzioni-cina-robotica-intelligenza-incarnata-isaac","status":"publish","type":"post","link":"https:\/\/www.chinasmartbuy.com\/blog\/nvidia-assunzioni-cina-robotica-intelligenza-incarnata-isaac\/","title":{"rendered":"NVIDIA assume in Cina per la robotica: focus su intelligenza incarnata e Isaac"},"content":{"rendered":"\n\n<style>\n  :root {\n    --red: #CC1B1B;\n    --red-light: rgba(204,27,27,0.08);\n    --red-mid: #e84040;\n    --accent-soft-bg: rgba(204,27,27,0.07);\n    --accent-soft-border: rgba(204,27,27,0.18);\n    --text: #1a1a1a;\n    --text-muted: #666;\n    --card: #ffffff;\n    --border: #ebebeb;\n    --page-bg: #ffffff;\n    --surface-soft: #fafafa;\n    --surface-contrast: #f0f0f0;\n    --line-soft: #f5f5f5;\n    --soft-label: #bbb;\n    --muted-label: #999;\n    --copy: #333;\n    --font-head: 'Bebas Neue', sans-serif;\n    --font-body: 'DM Sans', sans-serif;\n    --heading-spacing: 0.04em;\n    --heading-weight: 400;\n    --spec-header-spacing: 0.08em;\n    --quickfacts-shadow: 0 10px 24px rgba(15,23,42,0.06);\n  }\n  .fbp5-wrap,.fbp5-wrap * { box-sizing:border-box; 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}\n    .rh-downloadbox-link { width:100%; }\n    .rh-offerbox-head { flex-direction:column; }\n    .rh-offerbox-links { grid-template-columns:1fr; }\n    .rh-offer-inline-wrap { flex-direction:column; align-items:flex-start; }\n    .rh-offer-inline-cta { width:100%; }\n  }\n\n  \/* RH_FBP5_CARDS_CSS_V1 *\/\n  .fbp5-related-grid { display:grid; grid-template-columns:repeat(3,1fr); gap:14px; }\n  .fbp5-telegram-grid { grid-template-columns:repeat(2,1fr); }\n  .fbp5-related-card { display:block; overflow:hidden; border:1px solid var(--border,#ebebeb); border-radius:8px; background:var(--card,#fff); color:inherit !important; text-decoration:none !important; transition:transform .18s ease, box-shadow .18s ease, border-color .18s ease; }\n  .fbp5-related-card:hover { transform:translateY(-2px); border-color:rgba(204,27,27,.35); box-shadow:0 16px 36px rgba(18,18,18,.10); }\n  .fbp5-related-card img { display:block; width:100%; aspect-ratio:16\/9; object-fit:cover; background:var(--surface-soft,#fafafa); }\n  .fbp5-related-thumb-placeholder { width:100%; aspect-ratio:16\/9; display:flex; align-items:center; justify-content:center; background:linear-gradient(135deg,rgba(204,27,27,.10),rgba(204,27,27,.03)); color:var(--red,#CC1B1B); font-family:var(--font-head,'Bebas Neue',sans-serif); font-size:28px; letter-spacing:.04em; }\n  .fbp5-related-body { padding:12px; }\n  .fbp5-related-body span { display:block; margin:0 0 6px; color:var(--red,#CC1B1B); font-size:11px; font-weight:900; letter-spacing:.08em; text-transform:uppercase; }\n  .fbp5-related-body strong { display:block; font-size:15px; line-height:1.25; color:var(--text,#1a1a1a); }\n  .fbp5-related-body small { display:block; margin:7px 0 0; color:var(--text-muted,#666); font-size:13px; line-height:1.35; }\n  @media(max-width:720px) {\n    .fbp5-telegram-grid { grid-template-columns:1fr; }\n    .fbp5-related-grid:not(.fbp5-telegram-grid) { grid-template-columns:1fr; }\n    .fbp5-related-grid:not(.fbp5-telegram-grid) .fbp5-related-card { display:grid; grid-template-columns:112px minmax(0,1fr); align-items:stretch; }\n    .fbp5-related-grid:not(.fbp5-telegram-grid) .fbp5-related-card img,\n    .fbp5-related-grid:not(.fbp5-telegram-grid) .fbp5-related-thumb-placeholder { height:100%; min-height:92px; aspect-ratio:auto; }\n  }\n<\/style>\n<div class=\"fbp5-wrap rh-json-article\" id=\"rh-article-mr0m1v1a-yhj32\" data-rh-article-type=\"news\" data-rh-site-profile=\"china-smart-buy\">\n  <div class=\"fbp5-intro\">\n    \n    <p>NVIDIA ha avviato in Cina una nuova campagna di assunzioni dedicata alla robotica, con posizioni aperte a Pechino, Shanghai e Shenzhen. Il piano si concentra su <strong>quattro aree chiave<\/strong>: intelligenza incarnata, simulazione, deployment e architettura di soluzioni.<\/p><p>Il segnale \u00e8 chiaro: l&#8217;azienda sta accelerando la sua strategia di <strong>Physical AI<\/strong> anche sul fronte operativo, puntando a costruire team locali per lo sviluppo di robot generalisti, infrastrutture di training e sistemi pronti per l&#8217;impiego reale.<\/p>\n  <\/div><figure class=\"wp-block-image size-large\" style=\"margin:18px 0;display:block;clear:both;width:100%;position:relative;z-index:1\"><a href=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/06\/nvidia-assume-in-cina-per-la-robotica-b2210ec5-acf1-4fd1-a000-195c-13pjuecm3g.webp\" target=\"_blank\" rel=\"noopener\" style=\"display:block;width:100%;position:relative;z-index:2;pointer-events:auto;cursor:zoom-in\"><img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/06\/nvidia-assume-in-cina-per-la-robotica-b2210ec5-acf1-4fd1-a000-195c-13pjuecm3g.webp\" alt=\"\u82f1\u4f1f\u8fbe\u5728\u534e\u542f\u52a8\u673a\u5668\u4eba\u4eba\u624d\u62db\u8058\uff0c\u805a\u7126\u5177\u8eab\u667a\u80fd\u7b49\u56db\u5927\u65b9\u5411\" loading=\"lazy\" style=\"display:block;max-width:100%;height:auto;margin:0 auto;pointer-events:auto\"><\/a><\/figure>\n  \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Strategia<\/div>\n        <h2>NVIDIA rafforza la robotica in Cina con assunzioni su <span>quattro fronti<\/span><\/h2>\n        <p>La campagna di recruiting copre tre grandi hub tecnologici cinesi e mette al centro lo sviluppo di competenze specializzate per la prossima generazione di piattaforme robotiche. L&#8217;area con il maggior numero di aperture \u00e8 quella dell&#8217;intelligenza incarnata, con 6 posizioni dedicate alla creazione di sistemi robotici generalisti.<\/p><p>In questo gruppo rientrano attivit\u00e0 legate a manipolazione fine, uso di corpi sensorizzati, movimento e manipolazione integrati e controllo completo del corpo. L&#8217;obiettivo \u00e8 portare pi\u00f9 rapidamente in produzione modelli e architetture capaci di operare in ambienti fisici complessi.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Aree di assunzione: <strong>intelligenza incarnata<\/strong>, simulazione, deployment, architettura di soluzioni<\/li><li>Citt\u00e0 coinvolte: Pechino, Shanghai e Shenzhen<\/li><li>Posizioni nell&#8217;intelligenza incarnata: 6<\/li><li>Focus tecnico: manipolazione fine, corpo sensorizzato, loco-manipulation, controllo full-body<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Direzione principale<\/div>\n        <div class=\"rh-quickfacts-value\">Sviluppo di robot generalisti di nuova generazione<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Segnale industriale<\/div>\n        <div class=\"rh-quickfacts-value\">Accelerazione del piano Physical AI sul mercato cinese<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">Il nucleo pi\u00f9 ampio del piano riguarda l&#8217;intelligenza incarnata, oggi uno dei segmenti pi\u00f9 strategici per portare l&#8217;AI dal software al mondo fisico.<\/div>\n        <div class=\"fbp5-info\">Le posizioni risultano distribuite tra tre citt\u00e0 e coprono sia ricerca avanzata sia attivit\u00e0 pi\u00f9 vicine all&#8217;integrazione industriale.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Distribuzione dei ruoli aperti<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Intelligenza incarnata<\/div>\n            <div class=\"fbp5-scheda-val\">6 posizioni<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Simulazione<\/div>\n            <div class=\"fbp5-scheda-val\">4 posizioni<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Deployment<\/div>\n            <div class=\"fbp5-scheda-val\">4 posizioni<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Architettura di soluzioni<\/div>\n            <div class=\"fbp5-scheda-val\">2 posizioni<\/div>\n          <\/div>\n        \n      <\/div>\n    \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Tecnologia<\/div>\n        <h2>Simulazione e deployment mostrano il percorso dai modelli al <span>robot reale<\/span><\/h2>\n        <p>Sul versante simulazione, NVIDIA ha aperto 4 ruoli incentrati su <strong>Isaac Sim<\/strong>, Isaac Lab e piattaforme per l&#8217;apprendimento robotico. Qui il lavoro punta a costruire l&#8217;infrastruttura di base per addestrare e validare i robot di nuova generazione, con temi come reinforcement learning su larga scala, trasferimento dal simulato al reale, dati sintetici, simulazione fisica e strumenti per sviluppatori.<\/p><p>Anche il deployment conta 4 posizioni e si concentra sull&#8217;ottimizzazione algoritmica e sulla messa in funzione su robot reali, in particolare umanoidi e sistemi di intelligenza incarnata. In quest&#8217;area rientra anche lo studio della cooperazione tra grandi modelli linguistici e modelli di policy all&#8217;interno di sistemi robotici destinati alla produzione su scala.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Piattaforme citate: <strong>Isaac Sim<\/strong> e Isaac Lab<\/li><li>Ambiti chiave: reinforcement learning, Sim-to-Real, dati sintetici, benchmark robotici<\/li><li>Deployment focalizzato su umanoidi e applicazioni in scenari reali<\/li><li>Studio della cooperazione tra LLM e modelli di policy per robot di serie<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Ruoli simulazione<\/div>\n        <div class=\"rh-quickfacts-value\">4<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Ruoli deployment<\/div>\n        <div class=\"rh-quickfacts-value\">4<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">La struttura delle assunzioni indica una filiera completa: prima si addestra in simulazione, poi si passa all&#8217;ottimizzazione e all&#8217;impiego su macchine reali.<\/div>\n        <div class=\"fbp5-info\">Questa impostazione \u00e8 coerente con la spinta del settore verso robot pi\u00f9 autonomi, aggiornabili e integrabili in contesti produttivi.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Focus tecnico delle due aree<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Simulazione<\/div>\n            <div class=\"fbp5-scheda-val\">Training, validazione, simulazione fisica, strumenti di sviluppo<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Deployment<\/div>\n            <div class=\"fbp5-scheda-val\">Ottimizzazione algoritmica e attivazione su hardware reale<\/div>\n          <\/div>\n        \n      <\/div>\n    \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Scenario<\/div>\n        <h2>Il piano si inserisce nella crescita della piattaforma <span>robotica di NVIDIA<\/span><\/h2>\n        <p>Le nuove assunzioni arrivano a breve distanza da altri segnali concreti nel settore. A inizio giugno Jensen Huang ha annunciato una collaborazione con Unitree per una nuova reference design di robot umanoide chiamata <strong>H2+<\/strong>, legata al sistema Isaac GR00T.<\/p><p>Il sistema \u00e8 gi\u00e0 stato integrato a livello complessivo e il robot indicato nella presentazione dispone di 31 gradi di libert\u00e0, con 25 gradi di libert\u00e0 per ciascuna mano meccanica. Le dimensioni dichiarate parlano di un&#8217;altezza di circa 1,8 metri e un peso di circa 68 chilogrammi.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Reference design annunciata: <strong>H2+<\/strong><\/li><li>Sistema collegato: Isaac GR00T<\/li><li>Gradi di libert\u00e0 del robot: 31<\/li><li>Gradi di libert\u00e0 per mano: 25<\/li><li>Dimensioni dichiarate: circa 1,8 metri e 68 kg<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">CEO<\/div>\n        <div class=\"rh-quickfacts-value\">Jensen Huang<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Visione industriale<\/div>\n        <div class=\"rh-quickfacts-value\">Robot, auto e smart factory come agenti fisici intelligenti<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">Il recruiting non \u00e8 un&#8217;iniziativa isolata: si collega a una roadmap gi\u00e0 visibile su hardware di riferimento, software Isaac e Physical AI.<\/div>\n        <div class=\"fbp5-info\">Per chi segue il mercato, il dato pi\u00f9 interessante \u00e8 la combinazione tra strumenti di simulazione, modelli AI e robot umanoidi, sempre pi\u00f9 trattati come una piattaforma integrata.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Dati principali del robot mostrato da NVIDIA<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Nome reference design<\/div>\n            <div class=\"fbp5-scheda-val\">H2+<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Piattaforma<\/div>\n            <div class=\"fbp5-scheda-val\">Isaac GR00T<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Altezza<\/div>\n            <div class=\"fbp5-scheda-val\">Circa 1,8 metri<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Peso<\/div>\n            <div class=\"fbp5-scheda-val\">Circa 68 chilogrammi<\/div>\n          <\/div>\n        \n      <\/div>\n    \n      <\/section>\n    \n<section class=\"fbp5-section\" data-rh-related-section=\"1\">\n      <div class=\"fbp5-section-label\">Articoli correlati<\/div>\n      <h2>Altre notizie <span>da leggere<\/span><\/h2>\n      <div class=\"fbp5-related-grid\"><a class=\"fbp5-related-card\" href=\"https:\/\/www.chinasmartbuy.com\/blog\/msi-claw-8-ex-ai-plus-computex-2026\/\" target=\"_blank\" rel=\"noopener\">\n      <img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/06\/msi-claw-8-ex-ai-e-nuovi-notebook-docx-media-1-image1-6mfqm6w3hy.png\" alt=\"MSI Claw 8 EX AI+ e nuovi notebook: novit\u00e0 COMPUTEX 2026\" loading=\"lazy\">\n      <div 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