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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in GPU-accelerated computing solutions, particularly in CAE/CFD applications, while effectively engaging with the research community and driving product adoption. Possesses strong analytical, project management, and communication skills to articulate technical value propositions and collaborate across teams.
Highest-signal resume keywords
GPU Accelerated Computing SolutionsCAE/CFD ApplicationsAI For ScienceProject ManagementCUDA/CUDA-X
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Computational MechanicsFluid DynamicsTechnical LeadershipAnalytical SkillsProblem-SolvingCommunity ManagementSoftware EngineeringApplication DevelopmentLLM Training/Inference DevelopmentMultiphysics
Soft Skills
Clear CommunicationEmpathy for DevelopersSelf-StarterOutcome-OrientedCollaboration
Tools & Technologies
FluentOpenFOAMCUDAPhysicsNeMoOmniverseOpenUSD
Industry Keywords
Accelerated ComputingTechnical Business DevelopmentResearch Community EngagementHybrid SolutionsISV Adoption
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Work with China’s industrial and research community to integrate NVIDIA’s GPU-accelerated computing portfolio
- Serve as a technical business development and accelerated computing platform evangelist for researcher and developer communities
- Understand community requirements, analyze technical requests, and identify needle-moving projects
- Bridge NVIDIA tools with community requirements and promote NVIDIA tools, libraries, and SDKs to Chinese researchers, developers, ISVs, and service providers
- Engage with accelerated computing, AI for Science, visualization, and Agentic AI, focusing on CAE/CFD applications
- Discover new workflows, identify blockers to ISV adoption, and report findings to product teams
- Drive early adoption of new products and support launch and go-to-market activities
- Co-architect and advise on repeatable multi-cloud, hybrid, and on-premise solutions
- Jointly scope project requirements for AI4S, Generative AI, Agentic AI, and Physical AI
- Understand integrations with ecosystems and private/hybrid platforms
- Collaborate with business development managers, solution architects, developer technology engineers, developer marketing, and product teams
- Travel as required to engage customers and communities
Requirements
What you’ll need- BS, MS, PhD in computational mechanics, fluid dynamics, mechanical engineering, or Computer Science, or equivalent experience
- 3+ years of work-related experience in a technical leadership role and architecting GPU accelerated computing solutions
- Strong technical foundation in CAE/CFD, including fluids, structures, fluid-structure interaction, and multiphysics
- Extensive knowledge and experience with recent advancements in AI for Science, LLMs, Agentic AI, and Physical AI
- Strong analytical and problem-solving skills, with deep empathy for developers
- Clear written and oral communication skills with a proven track record of articulating value propositions to executive and technical audiences
- Strong project management skills and ability to plan, prioritize, and drive multiple projects simultaneously while engaging internal and external stakeholders
- Passion for AI, continuous learning spirit, self-started and driven on focused outcome-oriented activities
- Experience with CAE/CFD software such as Fluent and OpenFOAM
- Hands-on experience with CUDA/CUDA-X, PhysicsNeMo, and Omniverse/OpenUSD
- Background with community management, OSS community, academic alliance, accelerated computing development, and LLM training/inference development
- Experience and empathy for software engineering and application development
Benefits
Comp & perks- Equal opportunity employment and commitment to a diverse work environment
- Some travel required
- Empowerment to find the best way to get the job done
