Description
We are looking for a Senior Developer Relations Manager to work with China industrial/research community to integrate our portfolio of GPU Accelerated Computing solutions i.e. AI for difference sciences domains, Machine Learning and Deep Learning, specifically Generative AI & Agentic AI, and to build comprehensive multi-cloud, hybrid and on-prem solutions.
This individual is motivated, skilled in communication and teamwork, stays organized, and prioritizes achieving goals.
Roles will include being a technical business development and accelerated computing platform evangelist to researcher and developer communities. This includes understanding the community requirements, analyzing the technical requests, integrating new or expanding existing solutions, co-architecting and advising on repeatable solutions, jointly scope project requirements for AI4S, GAI, Agentic AI, Physical AI, and understand integrations with the ecosystem, and private/hybrid platforms, etc.
What you'll be doing:
- Understand China researcher and developer communities, Analyzing the technical requirement, 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.
What we need to see:
- 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.
Ways to stand out from the crowd:
- 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 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.