Solutions Architect

6 Months ago • 5 Years + • Devops

Job Summary

Job Description

NVIDIA seeks a Solutions Architect to collaborate with HPC/Omniverse researchers in Taiwan's academic sector. The role focuses on promoting NVIDIA's GPU platform adoption across Networking, Digital Twin, AI, Accelerated Analytics, Simulation, Deep Learning, and Machine Learning. Responsibilities include supporting higher education and research customers, co-working with professors on GPU computing research, designing and implementing high-performance solutions (HPC on DPU/GPU and Omniverse), and optimizing platform performance. The ideal candidate possesses a Master's or Ph.D. in a relevant field, 5+ years of experience, proficiency in Python/C/C++, and a proven ability to collaborate across organizations. Some travel is required.
Must have:
  • Master's or Ph.D. in relevant field
  • 5+ years related experience
  • Proficient in Python, C/C++
  • Experience with HPC/DPU or Omniverse
  • Collaboration & Communication Skills
Good to have:
  • CUDA and GPU Computing experience
  • Experience with DOCA SDK
  • Experience integrating industrial software with Omniverse

Job Details

We are looking for a Solutions Architect to work with HPC or Omniverse (OM) researchers in Taiwan, focused on academic society to adopt NVIDIA GPU platform on Networking, Digital Twin, AI, Accelerated Analytics, Simulation, Deep Learning or Machine learning technologies. NVIDIA’s platform for HPC/MIG and Omniverse (OM), deep learning and high-performance computing have already made a major impact on the industry. At NVIDIA, our Solution Architects are drawn from elite developers and scientists who enjoy working with the latest in GPU hardware and software. We need a passionate, hard-working, and creative individual to help us pursue more of these opportunities in fields. Your primary focus is on HPC/DPU or OM with researchers and developers at universities, research institute and labs.

What you’ll be doing:

  • Supporting Higher Education and Research customers driving research/influencing/new business in those customers and academic collaborations.

  • Co-work with professors/researchers on 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

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you are creative and autonomous, we want to hear from you!

NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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