Nvidia Solutions Architect Data Science 

Taiwan, Taipei 

244511979

As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.

What you’ll be doing:

• Develop HPC solutions using NVIDIA SDKs like Modulus and CUDA for physics simulations.

• Design GPU-accelerated workflows for complex simulations in optics, electromagnetics, and fluid dynamics.

• Deploy AI models for physics modeling and simulations.

• Support customers in leveraging NVIDIA platforms for physics modeling.

• Enhance NVIDIA's GPU capabilities in scientific computing applications.

• Apply NVIDIA Inference Microservices (NIM) to various domains, including language processing, computer vision, and scientific simulations.

What we need to see:

• Master's or Ph.D. in Electrical Engineering, Physics, Applied Mathematics, or related field.

• 5+ years in HPC, focusing on physics modeling and simulations.

• Sufficient experience in physics and GPU-accelerated frameworks.

• Proficient in Python; C++ and CUDA experience preferred.

• Expertise in numerical methods and computational physics.

Ways to stand out from the crowd:

• Experience with NVIDIA Modulus for physics-informed machine learning.

• Proficiency in NVIDIA tools for AI model deployment.

• Skill in optimizing physics simulations on NVIDIA GPUs.

• Background in simulation software for engineering applications.

• Ability to solve complex challenges in GPU-accelerated physics simulations.

• Familiarity with NIM for deploying and managing AI models.