Solutions Architect

NVIDIA
Taipei
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 3+ yearsEducation: mastersSkills: ["Communication","Presentation skills","Independent work","Collaboration"]

Work with AI for Sciences researchers across Taiwan to drive adoption of NVIDIA Physical AI and AI-for-Science solutions. Architect and deploy end-to-end AI workflows for scientific computing, weather forecasting, engineering simulation, and digital twins. Lead technical engagements using NVIDIA AI and Omniverse tools, build reference architectures and demos, and deliver workshops and training for research, university, and enterprise partners.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Solutions Architect

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Work with AI for Sciences researchers across Taiwan to drive adoption of NVIDIA Physical AI and AI-for-Science solutions. Architect and deploy end-to-end AI workflows for scientific computing, weather forecasting, engineering simulation, and digital twins. Lead technical engagements using NVIDIA AI and Omniverse tools, build reference architectures and demos, and deliver workshops and training for research, university, and enterprise partners.
Location: Taipei
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key 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.
  • •Deliver technical workshops, hands-on training, and executive briefings; collaborate internally to accelerate customer adoption of new NVIDIA technologies.

Key Requirements

  • •MS or PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Physics, Atmospheric Science, Applied Mathematics, or related 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.
Experience:3+ yearsAIMachine learningScientific computingHPCSolution architecture
Education:Master's in Computer Science, Electrical Engineering, Mechanical Engineering, Physics, Atmospheric Science, Applied Mathematics (or related technical field)
Skills:CommunicationPresentation skillsIndependent workCollaboration
Tech Stack:NVIDIA GPU platformVLMDigital TwinAccelerated AnalyticsSimulationDeep LearningMachine learningHPC/MIGOmniverse (OM)Physical AIPhysicsNeMoWeather AIEarth-2Isaac SimPythonPyTorchLinuxGPU computingSlurmKubernetes

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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