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Solutions Architect

NVIDIA· Architect, Solutions
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TaipeiFull-timePosted 2mo ago

About the role

Solutions Architect focused on AI for Sciences in Taiwan, helping academic researchers and institutions adopt NVIDIA GPU platforms for VLM, Digital Twin, AI, Accelerated Analytics, Simulation, Deep Learning, and Machine Learning across academia and research labs.

Responsibilities

  • Drive customer adoption of NVIDIA Physical AI and AI for Science solutions across Taiwan.
  • Engage with government agencies, research institutions, universities, and enterprise customers to architect and deploy AI solutions for scientific computing, weather forecasting, engineering simulation, and digital twins.
  • Lead technical engagements involving PhysicsNeMo, Weather AI, Earth-2, Omniverse, Isaac Sim, and related Physical AI technologies.
  • Design and optimize end-to-end AI workflows on NVIDIA accelerated computing platforms.
  • Collaborate with internal engineering and product teams to accelerate customer adoption of new NVIDIA technologies.
  • Develop reference architectures, technical assets, demos, and best practices that can be leveraged across Taiwan and APAC.
  • Deliver technical workshops, hands-on training, and executive briefings for customers and ecosystem partners.
  • Support strategic AI initiatives and ecosystem development in Taiwan.

Qualifications

  • MS, or PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Physics, Atmospheric Science, Applied Mathematics, or a related technical field (or equivalent experience).
  • 3+ years of experience in AI, machine learning, scientific computing, HPC, or solution architecture.
  • Strong programming skills in Python.
  • Familiarity with deep learning frameworks such as PyTorch.
  • Experience with Linux development environments and GPU computing.
  • Excellent communication and presentation skills with the ability to engage both technical and executive audiences.
  • Ability to work independently while collaborating effectively across global engineering, product, and sales teams.

Skills

Required:Python programmingPyTorchLinux and GPU computingCommunication and presentationIndependent with collaboration
Last updated Aug 21, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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