Developer Relations Manager – CAE and CFD

NVIDIA
Shanghai, Shenzhen, Beijing
Workplace: OnsiteFull timeFunction: Software EngineeringEducation: phdSkills: ["Communication","Teamwork","Analytical thinking","Problem-solving","Project management","Organization","Empathy for developers","Continuous learning"]

Work with China researcher and developer communities to integrate NVIDIA GPU-accelerated computing solutions, with a focus on CAE/CFD. Analyze technical requirements, identify priority projects, and bridge NVIDIA tools, libraries, and SDKs with community needs. Co-architect repeatable AI4S/GAI/agentic AI and physical AI workflows, discover ISV adoption blockers, and support early adoption and launch activities in partnership with internal teams.

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FursaFursa
NVIDIA
NVIDIA
13 hours ago

Developer Relations Manager – CAE and CFD

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

Job Summary

Work with China researcher and developer communities to integrate NVIDIA GPU-accelerated computing solutions, with a focus on CAE/CFD. Analyze technical requirements, identify priority projects, and bridge NVIDIA tools, libraries, and SDKs with community needs. Co-architect repeatable AI4S/GAI/agentic AI and physical AI workflows, discover ISV adoption blockers, and support early adoption and launch activities in partnership with internal teams.
Location: Shanghai, Shenzhen, Beijing
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Understand China researcher and developer communities and analyze technical requirements to identify high-impact projects.
  • •Bridge NVIDIA tools with community needs by promoting NVIDIA tools, libraries, and SDKs to researchers and ISVs/service providers.
  • •Engage deeply with accelerated computing and AI-for-science workflows, specifically CAE/CFD applications.
  • •Discover new workflows, identify blockers to ISV adoption, and provide feedback to product teams.
  • •Collaborate with internal teams on early adoption, product support, launch, and go-to-market activities.
Travel: Low travel

Key Requirements

  • •BS, MS, or PhD in computational mechanics, fluid dynamics, mechanical engineering, or Computer Science (or equivalent experience).
  • •3+ years of experience in a technical leadership role architecting GPU-accelerated computing solutions.
  • •Strong CAE/CFD foundation in fluids, structures, fluid-structure interaction, and multiphysics.
  • •Extensive knowledge of recent advancements in AI for Science, LLMs, agentic AI, and physical AI.
  • •Clear written and oral communication, plus strong project management to drive multiple initiatives with internal and external stakeholders.
Experience:GPU accelerated computingCAE/CFDAI for ScienceGenerative AIAgentic AILLMsDeveloper communitiesISV adoption
Education:PhD / Doctorate in computational mechanics, fluid dynamics, mechanical engineering, or Computer Science
Skills:CommunicationTeamworkAnalytical thinkingProblem-solvingProject managementOrganizationEmpathy for developersContinuous learning
Tech Stack:GPU Accelerated ComputingArtificial IntelligenceHigh-Performance ComputingVisualizationGenerative AIAgentic AIPhysical AILLMsCUDACUDA-XPhysicsNeMoOmniverseOpenUSDFluentOpenFOAMMulti-cloudHybridOn-premSDKsLibraries

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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