Senior Developer Relations Manager

NVIDIA NVIDIA · Semiconductors · Beijing, China +1

NVIDIA is seeking a Senior Developer Relations Manager to engage with the China industrial and research community, promoting GPU Accelerated Computing solutions including AI for science, Machine Learning, Deep Learning, Generative AI, and Agentic AI. The role involves understanding community requirements, analyzing technical requests, advising on solutions, and driving adoption of NVIDIA's portfolio, with a specific focus on the CAE/EDA developer community.

What you'd actually do

  1. Understand China researcher and developer communities, Analyzing the technical requirement, identify needle moving projects.
  2. Bridge NVIDIA tools with communities' requirements, Promote NVIDIA tools, libraries, and SDK’s with China researcher and developer communities, ISV and Service Providers.
  3. Deeply understand CAE/EDA software ecosystem and related acceleration and AI approaches.
  4. Discover new workflows, identify blockers to ISV adoption, and report back to the product teams.
  5. Drive early adoption of new products and support launch and go-to-market activities.

Skills

Required

  • BS, MS, PhD in Engineering, Mathematics, Physics, Electronics, or Computer Science (or equivalent experience).
  • 5+ years of work-related experience (EDA especially) in technical leadership role and architecting GPU accelerated computing solutions.
  • 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.
  • Strong analytical and problem-solving skills, with deep empathy for developers.
  • Clear written and oral communication skills with proven track record to articulate value propositions to executive and technical audiences.
  • Strong project management skills: ability to plan, prioritize, and drive forward multiple projects simultaneously, while engaging with internal and external stakeholders.
  • Extensive knowledge and experience with recent advancements in AI for Science, LLMs, VLMs Agentic AI and Physical AI.

Nice to have

  • Strong CAE/EDA technical background.
  • Experience developing CUDA, operations research, AI4S models, robotics research, AI with database research, ML/DL frameworks.
  • Background with community managements, OSS community, academic alliance, acceleration computing development, LLM training/inference development, robotics, APIs and Microservices, orchestration platforms, database solutions and data migration techniques.
  • Experience and empathy for software engineering and application development.

What the JD emphasized

  • 5+ years of work-related experience (EDA especially) in technical leadership role and architecting GPU accelerated computing solutions.
  • Extensive knowledge and experience with recent advancements in AI for Science, LLMs, VLMs Agentic AI and Physical AI.