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.
We make heavy use of conferencing tools, but some travel is required. You are empowered to find the best way to get your job done and make our partners successful.
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.
Passionate about AI and its evolving growth with continuous learning spirit, self-started and driven on focused outcome oriented activities
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.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you!
NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
