Description
We are looking for a Senior Developer Relations Manager to work with China's industrial and research community to integrate our portfolio of GPU Accelerated Computing solutions. The ideal candidate will have a strong background in database systems and data processing technologies, including OLTP, OLAP, vector DB, AI-native DB, multimodal DB, conversational and natural language DB, and lakehouse architectures. They will also have experience in technical leadership roles and architecting GPU accelerated computing solutions.
The role will involve bridging NVIDIA tools with community requirements, promoting NVIDIA tools, libraries, and SDKs with China's researcher and developer communities, ISV and Service Providers. The candidate will also collaborate with NVIDIA business development managers, solution architects, developer technology engineers, developer marketing, and product teams to engage with customers and communities.
Key responsibilities will include:
- Understanding China's researcher and developer communities, analyzing technical requirements, and identifying needle-moving projects.
- Bridging NVIDIA tools with community requirements, promoting NVIDIA tools, libraries, and SDKs with China's researcher and developer communities, ISV and Service Providers.
- Deep understanding of database systems and data processing technologies, including OLTP, OLAP, vector DB, AI-native DB, multimodal DB, conversational and natural language DB, and lakehouse architectures, along with their associated software ecosystems, performance acceleration techniques, and AI-driven approaches.
- Discovering new workflows, identifying blockers to ISV adoption, and reporting back to the product teams.
- Driving early adoption of new products and supporting launch and go-to-market activities.
The ideal candidate will have a strong background in database systems and data processing technologies, experience in technical leadership roles, and a deep understanding of accelerated computing, AI for science, Agentic AI, physical AI, and LLM ecosystem of startups, ISVs, data stores, CSP services, and SaaS/platform offers.
They will also have strong analytical and problem-solving skills, clear written and oral communication skills, and experience with recent advancements in AI for Science, LLMs, VLMs Agentic AI, and Physical AI.