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.
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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.