Developer Relations Manager – Enterprise AI

NVIDIA
Beijing, Shanghai, Shenzhen
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 4+ yearsEducation: phdSkills: ["Communication","Teamwork","Analytical thinking","Problem-solving","Project management"]

Work with China research and developer communities to integrate NVIDIA’s GPU-accelerated computing portfolio for Enterprise AI, with a focus on Agentic AI and post-training. You’ll bridge community needs with NVIDIA tools, promote libraries and SDKs, co-architect repeatable platform-level solutions across cloud, hybrid, and on-prem, and support early product adoption and launch/go-to-market activities. Requires strong technical leadership, communication, and project management.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Developer Relations Manager – Enterprise AI

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Work with China research and developer communities to integrate NVIDIA’s GPU-accelerated computing portfolio for Enterprise AI, with a focus on Agentic AI and post-training. You’ll bridge community needs with NVIDIA tools, promote libraries and SDKs, co-architect repeatable platform-level solutions across cloud, hybrid, and on-prem, and support early product adoption and launch/go-to-market activities. Requires strong technical leadership, communication, and project management.
Location: Beijing, Shanghai, Shenzhen
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Understand China researcher and developer community needs, analyze technical requests, and identify needle-moving projects.
  • •Bridge NVIDIA tools with community requirements by promoting NVIDIA tools, libraries, and SDKs to researchers and developers, including ISVs and service providers.
  • •Provide deep Enterprise AI and Agentic AI expertise across agent architecture, agent skills, orchestration, evaluation, reinforcement learning for post-training, and scalable platform-level deployments across cloud, hybrid, and on-prem.
  • •Discover new workflows, identify blockers to ISV adoption, and report insights back to product teams.
  • •Drive early adoption of new products and support launch and go-to-market activities while collaborating with internal teams.
Travel: Low travel

Key Requirements

  • •BS, MS, or PhD (or equivalent) in Engineering, Mathematics, Physics, Electronics, or Computer Science.
  • •4+ years of work experience, especially in Enterprise AI, Agentic AI, agent skills, and post-training, in a technical leadership role.
  • •Deep understanding of accelerated computing and the AI-for-science / LLM ecosystem across startups, ISVs, data stores, CSP services, and SaaS/platform offerings.
  • •Strong analytical and problem-solving skills with empathy for developers.
  • •Clear written and oral communication skills for articulating value to executive and technical audiences, plus strong project management to drive multiple initiatives.
Experience:4+ yearsEnterprise AIAgentic AIAI for ScienceLLM ecosystemAccelerated computing
Education:PhD / Doctorate
Skills:CommunicationTeamworkAnalytical thinkingProblem-solvingProject management
Tech Stack:Artificial IntelligenceHigh-Performance ComputingVisualizationGenerative AIAgentic AIAgent architectureOrchestrationEvaluationReinforcement learningPost-trainingLLMsVLMsCUDAMicroservicesAPIsSDKs

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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