Training Advisor, Technical - NVIDIA Deep Learning Institute

Overview

• NVIDIA Deep Learning Institute (DLI) enables developers to build practical, real-world skills across Agentic AI, Physical/Industrial AI, and AI Factories through diverse hands-on training and industry-recognized certification, driving the growth of a global AI-ready workforce and accelerating AI adoption across industries.
• We are seeking a Training Advisor who has deep technical expertise in China to engage and scale the emerging agent-native developer community.
• In this role, you will bridge fast-evolving technical trends and developer needs with NVIDIA training and certification programs, empowering developers of all experience levels to innovate and succeed in the age of AI.
• What you’ll be doing: Monitor technology trends and market feedback in China, and translate insights into localized training priorities and action plans.
• Embed learning paths and content into developer-centric technical platforms and communities to expand the adoption of NVIDIA training and certification naturally.
• Integrate training into developer-focused field activities, in collaboration with field teams across marketing, technical, and business, as well as partners, to support developer ecosystem growth as a strategic enabler.
• Develop and deliver tailored presentations, demos, and enablement sessions that communicate the know-how and value offered through NVIDIA training to target audiences.
• Identify local content gaps and lead content development projects end-to-end, including requirements definition, collaborator alignment, project management, launch readiness, and adoption support.
• Track, measure, and report impact against defined success metrics.
• What we need to see: Bachelor’s degree or higher in AI, Computer Science, Software, Engineering, or a related field.
• Strong familiarity with NVIDIA products, platforms, and developer ecosystem, and skill in aligning relevant technologies and learning paths to developer and ecosystem needs.
• 5+ years of experience in customer-facing roles such as technical training, solutions consulting, technical enablement, ecosystem engagement, pre-sales, or developer programs.
• Solid understanding of Agentic AI and Physical AI technologies and ecosystems, demonstrating skill in explaining technical concepts clearly to varied audiences.
• Experience managing projects across multi-functional groups, showing skill in handling multiple concurrent projects and delivering results.
• Highly motivated, with the ability to thrive in fast-paced, dynamic, and evolving environments.
• Effective written and verbal communication skills in both English and Chinese.
• Ways to stand out from the crowd: Validated hands-on experience building real-world Agentic AI and/or Physical AI applications and enabling developer communities.
• Experience delivering technical talks and presentations at large-scale events.
• Strong multi-functional collaboration across globally distributed teams.
• Demonstrate experience to continue learning new skills and growing capabilities as ventures into new markets.