Developer Relations Manager, cuOpt and Graph Optimization

At NVIDIA, we're solving the world's most ambitious problems with our groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization.

We are looking for a Developer Relations Manager to work with China's industrial and research community to integrate our portfolio of GPU Accelerated Computing solutions, specifically AI for different sciences domains, Machine Learning and Deep Learning, Generative AI & Agentic AI, and to build comprehensive multi-cloud, hybrid and on-prem solutions.

Responsibilities:

• Understand China researcher and developer communities, analyze technical requirements, and identify needle-moving projects.
• Bridge NVIDIA tools with communities' requirements, promote NVIDIA tools, libraries, and SDKs with China researcher and developer communities, ISV and Service Providers.
• Develop a deep understanding of database systems and data processing technologies, including cuOpt & graph optimization, which are rapidly gaining traction as a GPU-accelerated optimization engine for LP, MILP and VRP workloads, along with their associated software ecosystems, performance acceleration techniques, and AI-driven approaches.
• Discover new workflows, identify blockers to ISV adoption, and report back to product teams.
• Drive early adoption of new products and support launch and go-to-market activities.
• Collaborate with NVIDIA business development managers, solution architects, developer technology engineers, developer marketing, product teams to engage with customers and communities.

Requirements:

• BS, MS, PhD in Engineering, Mathematics, Physics, Electronics, or Computer Science (or equivalent experience).
• 6+ years of work-related experience on cuOpt, graph optimization, LP, MILP and VRP, and GPU-accelerated optimization algorithms.
• 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 a 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 cuOpt, graph optimization, LP, MILP and VRP, and GPU-accelerated optimization algorithms technical background.
• Experience developing CUDA, operations research, AI4S models, robotics research, AI with database research, ML/DL frameworks.
• Background with community management, 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.