Solutions Architect
Core
Drive customer adoption of NVIDIA Physical AI and AI for Science solutions across Taiwan for researchers and developers at universities, research institutes, and labs.
Role type
Solutions Architect (AI for Sciences)
Builds
AI solutions for scientific computing, weather forecasting, engineering simulation, and digital twins
Domain
AI for Sciences, HPC, Physical AI
Deliverable
production ML models
Required skills
Python, PyTorch, Linux, GPU computing, solution architecture, scientific computing, HPC
Preferred skills
Physics-informed Neural Networks (PINNs), Neural Operators, Weather AI, Earth-2, Omniverse, Isaac Sim, Slurm, Kubernetes
Responsibilities
Engage with government agencies, research institutions, and enterprise customers to architect and deploy AI solutions; Lead technical engagements involving PhysicsNeMo, Weather AI, Earth-2, Omniverse, Isaac Sim; Design and optimize end-to-end AI workflows on NVIDIA accelerated computing platforms; Develop reference architectures, technical assets, demos, and best practices; Deliver technical workshops, hands-on training, and executive briefings.
Seniority
Mid-Senior, hands-on IC
