Solutions Architect, Data Science

Nvidia - Washington, DC

Full-time

Washington, DC

Computer and Electronic Product Manufacturing

About the position

NVIDIA is seeking a Data Science focused Solutions Architect to join their Solution Architecture team. This role involves leveraging expertise in Machine Learning, Deep Learning, and Data Science platforms to enhance customer productivity and foster relationships with technology partners. The Solutions Architect will work with cutting-edge HPC architecture and advanced neural network models, playing a crucial role in transforming user interactions with technology.

Responsibilities

• 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.

Requirements

• 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.

Nice-to-haves

• 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.