Developer Relations Manager

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 the China industrial/research community to integrate our portfolio of GPU Accelerated Computing solutions, specifically AI for different sciences domains, Machine Learning and Deep Learning, and to build comprehensive multi-cloud, hybrid and on-prem solutions.

Responsibilities:

• Understand the China researcher and developer communities, analyze technical requirements, and identify needle-moving projects.
• Bridge NVIDIA tools with community requirements, promote NVIDIA tools, libraries, and SDKs with China researcher and developer communities, ISV and Service Providers.
• Develop a deep understanding of Enterprise AI and Agentic AI, including agent architecture, agent skills, orchestration, evaluation, and reinforcement learning for post-training.
• 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, and product teams to engage with customers and communities.

Requirements:

• BS, MS, or PhD in Engineering, Mathematics, Physics, Electronics, or Computer Science (or equivalent experience).
• 4+ years of work-related experience, especially in Enterprise AI, Agentic AI, agent skills, and post-training, in a technical leadership role and architecting GPU-accelerated, platform-level enterprise AI 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 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.

Nice to Have:

• Strong technical background in Enterprise AI and Agentic AI, with hands-on expertise in agent skills, reinforcement learning, and other post-training techniques, and the architecture and development of scalable platform-level solutions for enterprise deployment.
• 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.
• Experience and empathy for software engineering and application development.