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NVIDIA
NVIDIA
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NVIDIA develops accelerated computing and artificial intelligence technologies used across gaming, data centers, cloud computing, healthcare, manufacturing, automotive, and robotics. Its work spans graphics processing units, AI platforms, simulation, and industry-focused solutions, including NVIDIA Omniverse for collaborative 3D workflows, NVIDIA DRIVE for autonomous vehicle development, and NVIDIA Clara for healthcare applications. The company brings together large technical teams working on the infrastructure and software that support advanced computing, simulation, and AI-driven analytics.
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Developer Relations Manager, CAE/CFD — NVIDIA, Shanghai Onsite

Lead NVIDIA’s GPU-accelerated computing engagement with China’s CAE/CFD industrial and research communities. Advance AI for Science adoption through ecosystem integrations, developer programs, and technical collaboration.

CNChinaOn-siteFull-timeMiddleSeniorEnglish RequiredDeveloper Relations
Cloud

Description

  • Partner with China’s industrial and research communities to integrate NVIDIA’s GPU-accelerated computing portfolio
  • Act as a technical business development leader and accelerated computing evangelist for researchers and developers
  • Assess community needs, evaluate technical requests, and prioritize high-impact initiatives
  • Connect NVIDIA technologies to community requirements while promoting its tools, libraries, and SDKs to Chinese researchers, developers, ISVs, and service providers
  • Engage with accelerated computing, AI for Science, visualization, and Agentic AI for CAE/CFD use cases
  • Identify emerging workflows and barriers to ISV adoption, then communicate findings to product teams
  • Promote early adoption of new products and contribute to launches and go-to-market programs
  • Co-design and advise on repeatable multi-cloud, hybrid, and on-premises solutions
  • Define project requirements with stakeholders across AI for Science, Generative AI, Agentic AI, and Physical AI
  • Evaluate integrations across technology ecosystems and private or hybrid platforms
  • Work with business development managers, solution architects, developer technology engineers, developer marketing, and product teams
  • Travel as needed to support customer and community engagement

Requirements

  • Bachelor’s, master’s, or doctoral degree in computational mechanics, fluid dynamics, mechanical engineering, computer science, or equivalent experience
  • At least three years of relevant experience in technical leadership and architecting GPU-accelerated computing solutions
  • Deep technical expertise in CAE/CFD, including fluid dynamics, structures, fluid-structure interaction, and multiphysics
  • Extensive knowledge of recent developments in AI for Science, large language models, Agentic AI, and Physical AI
  • Strong analytical and problem-solving abilities, combined with a developer-focused mindset
  • Excellent written and verbal communication skills, including experience presenting value propositions to executive and technical audiences
  • Strong project management skills with the ability to plan, prioritize, and advance multiple initiatives involving internal and external stakeholders
  • Demonstrated enthusiasm for AI, continuous learning, self-direction, and outcome-focused work
  • Experience using CAE/CFD software such as Fluent and OpenFOAM
  • Practical experience with CUDA/CUDA-X, PhysicsNeMo, and Omniverse/OpenUSD
  • Experience in community management, open-source communities, academic alliances, accelerated computing development, or LLM training and inference
  • Understanding of and empathy for software engineering and application development

Benefits

  • Equal opportunity employment within a diverse workplace
  • Travel is part of the role
  • Autonomy to determine effective ways to deliver results

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