Developer Relations Manager – Enterprise AI
Salary not listed • China, Beijing • Full-time
Posted 1mo ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
NVIDIA is seeking a Developer Relations Manager to engage with the China industrial and research community. This role involves promoting and integrating NVIDIA's GPU-accelerated computing solutions, with a specific focus on Generative AI and Agentic AI. The ideal candidate is a creative, self-driven technologist passionate about AI and high-performance computing, capable of understanding community requirements, analyzing technical requests, and advising on repeatable solutions. This position is crucial for supporting the Enterprise AI developer community, emphasizing Agentic AI, agent skills, post-training, and platform-level solution development.
Responsibilities
- Understand China's researcher and developer communities, analyze technical requirements, and identify key projects.
- Promote NVIDIA tools, libraries, and SDKs to the China researcher and developer communities, ISVs, and Service Providers.
- Demonstrate deep understanding of Enterprise AI and Agentic AI, including architecture, skills, orchestration, evaluation, and post-training reinforcement learning.
- Identify new workflows and blockers to ISV adoption, reporting findings to product teams.
- Drive early adoption of new products and support launch and go-to-market activities.
- Collaborate with internal NVIDIA teams (business development, solution architects, developer technology, marketing, product) to engage with customers and communities.
- Travel as required for business needs.
Requirements
- BS, MS, or PhD in Engineering, Mathematics, Physics, Electronics, or Computer Science, or equivalent experience.
- 4+ years of work experience in Enterprise AI, Agentic AI, agent skills, and post-training, with experience architecting GPU-accelerated, platform-level enterprise AI solutions.
- Deep understanding of accelerated computing, AI for science, Agentic AI, physical AI, and the LLM ecosystem (startups, ISVs, CSPs, SaaS).
- Strong analytical and problem-solving skills with empathy for developers.
- Clear written and oral communication skills, with the ability to articulate value propositions to technical and executive audiences.
- Strong project management skills, including planning, prioritizing, and driving multiple projects simultaneously.
- Extensive knowledge and experience with recent advancements in AI for Science, LLMs, VLMs, Agentic AI, and Physical AI.
- Passionate about AI, with a continuous learning spirit and a self-driven, outcome-oriented approach.