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NVIDIA

Developer Relations Manager – Enterprise AI

NVIDIA

. Work with China’s industrial and research communities to integrate NVIDIA GPU-accelerated computing solutions .

Posted 9/20/2026full-timeBeijing • ChinaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing and integrating GPU-accelerated enterprise AI solutions, with a strong focus on Agentic AI and community engagement. Possesses a solid technical background in AI for Science, LLM ecosystems, and project management, ensuring effective collaboration and communication with diverse stakeholders.

Highest-signal resume keywords
GPU-Accelerated Computing SolutionsEnterprise AI DevelopmentAgentic AI ExpertiseProject Management SkillsAnalytical Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
CUDA DevelopmentReinforcement LearningAI4S ModelsML/DL FrameworksPost-Training TechniquesScalable Platform-Level SolutionsData Migration TechniquesRobotics ResearchAccelerated ComputingApplication Development
Soft Skills
Clear CommunicationAnalytical SkillsSelf-Starting AttitudeOutcome-Oriented Focus
Tools & Technologies
Conferencing ToolsOrchestration PlatformsAPIs and MicroservicesSaaS/Platform OffersCSP Services
Industry Keywords
AI for ScienceAgentic AIPhysical AIISV AdoptionCommunity Management

Tech Stack

Tools & technologies
CloudMicroservices

About the role

Key responsibilities & impact
  • Work with China’s industrial and research communities to integrate NVIDIA GPU-accelerated computing solutions
  • Serve as a technical business development and accelerated computing platform evangelist for researcher and developer communities
  • Understand community requirements and analyze technical requests
  • Integrate new or expand existing solutions
  • Co-architect and advise on repeatable solutions
  • Jointly scope project requirements for AI for Science, Generative AI, Agentic AI, and Physical AI
  • Support Enterprise AI developer communities, focusing on Agentic AI, agent skills, post-training, and platform-level solution development
  • Promote NVIDIA tools, libraries, and SDKs with China researcher and developer communities, ISVs, and service providers
  • Identify high-impact projects and blockers to ISV adoption, reporting findings to product teams
  • Drive early adoption of new products and support launch and go-to-market activities
  • Collaborate with business development managers, solution architects, developer technology engineers, developer marketing, and product teams
  • Develop scalable multi-cloud, hybrid, and on-prem enterprise AI solutions
  • Engage customers and communities through conferencing tools and required travel

Requirements

What you’ll need
  • BS, MS, 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
  • Experience 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 ecosystems
  • Knowledge of startups, ISVs, data stores, CSP services, and SaaS/platform offers
  • Strong analytical and problem-solving skills
  • Clear written and oral communication skills with a proven track record articulating value propositions to executive and technical audiences
  • Strong project management skills and ability to manage multiple projects simultaneously
  • Extensive knowledge of recent advancements in AI for Science, LLMs, VLMs, Agentic AI, and Physical AI
  • Passion for AI, continuous learning, self-starting attitude, and outcome-oriented focus
  • Strong technical background in Enterprise AI and Agentic AI
  • Hands-on expertise in agent skills, reinforcement learning, post-training techniques, and scalable platform-level enterprise solutions
  • Experience developing CUDA, operations research, AI4S models, robotics research, AI with database research, and ML/DL frameworks
  • Background in community management, OSS communities, academic alliances, accelerated computing development, LLM training/inference development, robotics, APIs and microservices, orchestration platforms, database solutions, and data migration techniques
  • Experience with software engineering and application development
  • Some travel required

Benefits

Comp & perks
  • Equal opportunity employer committed to a diverse work environment
  • Empowerment to find the best way to get the job done
  • Heavy use of conferencing tools
  • Some travel required