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Nvidia Senior Networking Security Research Architect 
Taiwan, Taipei 
771891717

18.02.2025

What you’ll be doing:

  • Supporting Higher Education and Research customers drivingresearch/influencing/newbusiness in those customers and academic collaborations.

  • Co-work withprofessors/researcherson their GPU computing research works and assisting customer in building innovative solutions.

  • We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and do what it takes to make our customers successful.

For HPC on DPU/GPU

  • Develop data center solutions utilizing NVIDIA DPU and MIG technologies

  • Design and implement high-performance, secure networking and storage acceleration solutions

  • Optimize MIG configurations for optimal GPU resource utilization and isolation

  • Support customers in deploying and managing DPU-based infrastructure

  • Develop DPU applications and services using DOCA SDK

  • Implement DPU and MIG applications in cloud computing, AI inference, and high-performance computing

For Omniverse

  • Develop 3D simulation and collaboration solutions using NVIDIA Omniverse platform

  • Design and implement real-time rendering, physics simulations, and AI-driven virtual environments

  • Integrate various industrial software with Omniverse for cross-application data interoperability

  • Support customers in building digital twin and virtual world applications on Omniverse

  • Optimize Omniverse performance in various domains such as manufacturing, architecture, and entertainment

  • Develop Omniverse extensions and connectors to expand platform capabilities

What we need to see:

  • Master or Ph.D. degree in Physics, Mathematics, Computer Science, Electrical or Computer Engineering or equivalent experience

  • 5+ years of related experience

  • Experience with Python, C/C++, or similar languages

  • Proven ability to engage and collaborate across organizations

Ways to stand out from the crowd:

  • Experience with CUDA and GPU Computing

  • Have lots of experience working with HPC/DPU or OM