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Developer Relations Manager - AI Algorithms, Benchmarks, OSS Datasets

NVIDIA· Account Mgr, Dev Relations
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Beijing, Shanghai, ShenzhenFull-timePosted 3mo ago

About the role

Developer Relations Manager to engage China industrial/research communities, promote NVIDIA GPU Accelerated Computing solutions, and drive adoption of AI4S, Generative AI, Agentic AI, and related datasets, benchmarks, and OSS components across multi-cloud, hybrid and on-prem environments.

Responsibilities

  • Understand China researcher and developer communities, analyze technical requirements, identify needle-moving projects.
  • Bridge NVIDIA tools with community requirements, promote tools, libraries, and SDKs with China researchers, ISVs and service providers.
  • Demonstrate deep understanding of AI algorithms, datasets, and benchmarks, including RL for post-training; familiarity with datasets, benchmarks, leaderboard communities, software ecosystems, performance acceleration techniques, and AI-driven methodologies.
  • Discover new workflows, identify blockers to ISV adoption, 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 customers and communities.
  • Travel as needed; empower to optimize how work gets done and ensure partner success.

Qualifications

  • BS, MS, PhD in Engineering, Mathematics, Physics, Electronics, or Computer Science (or equivalent experience).
  • 4+ years of work-related experience in AI algorithms, datasets, and benchmarks in a 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 empathy for developers.
  • Clear written and oral communication skills with proven ability to articulate value propositions to executive and technical audiences.
  • Strong project management skills: planning, prioritization, and driving multiple projects with stakeholders.
  • Extensive knowledge of recent advancements in AI for Science, LLMs, VLMs, Agentic AI and Physical AI.
  • Passion for AI and ongoing learning, self-starting and outcome-oriented.

Skills

Required:AI algorithms, datasets, benchmarksCommunication and stakeholder managementProject management
Nice to have:Community / OSS engagement

Benefits

  • NVIDIA is committed to encouraging a diverse work environment and equal opportunity employment. (NVIDIA does not discriminate on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability or any other characteristic protected by law.)
Last updated Jul 10, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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