Developer Relations Manager - Al Algorithms, Benchmarks, OSS Datasets

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 industrial/research community to integrate our portfolio of GPU Accelerated Computing solutions i.e. AI for different sciences domains, Machine Learning and Deep Learning, specifically 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, identify needle-moving projects.
• Bridge NVIDIA tools with communities' requirements, promote NVIDIA tools, libraries, and SDK's with China researcher and developer communities, ISV and Service Providers.
• Deep understanding of AI algorithms, datasets, and benchmarks, including reinforcement learning for post-training; familiarity with widely used datasets, benchmarks, and leaderboard communities across both general and vertical domains; as well as the associated software ecosystems, performance acceleration techniques, and AI-driven methodologies.
• Discover new workflows, identify blockers to ISV adoption, and report back to the 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).
• 4+ years of work-related experience (AI algorithms, datasets, and benchmarks 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 technical background in AI algorithms, datasets, and benchmarking, with particular expertise in reinforcement learning for post-training; deep familiarity with widely used datasets, benchmarks, and leaderboard ecosystems across both general and vertical domains.
• 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.