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, Generative AI, and Agentic AI. The role involves understanding community requirements, architecting solutions, driving adoption of new products, and specifically supporting the cuOpt and Graph Optimization ecosystem.

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 cuOpt (LP, MILP and VRP) and Graph Optimization 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 (LP, MILP, VRP and Graph Optimization solvers 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 LP, MILP, VRP and Graph Optimization 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.
  • Hands-on Experience in enabling industry solutions for optimization scenarios covering logistics, supply chain, intelligent manufacturing, energy and transportation.
  • Experience and empathy for software engineering and application development.

What the JD emphasized

  • cuOpt (LP, MILP and VRP) and Graph Optimization
  • LP, MILP, VRP and Graph Optimization solvers
  • AI for Science
  • Agentic AI
  • Physical AI
  • LLM ecosystem