Solutions Architect, Energy

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

NVIDIA’s Worldwide Field Operations (WWFO) team is seeking a Solution Architect with expertise in HPC System Architecture and Artificial Intelligence applications to engage with customers and partners in the Energy sector. This role focuses on enabling customers and partners through NVIDIA’s accelerated computing platform, driving breakthroughs in AI and High Performance Computing. The ideal candidate will be a trusted advisor, fostering lasting relationships and making NVIDIA an integral part of their workflow. You'll work with the latest HPC architectures and neural network models, changing the way people interact with technology.

Requirements

• Education: MS/PhD or equivalent in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields.
• Experience: 5+ years of Solution Architect or similar R&D experience demonstrating motivation and skills to drive technical engagements.
• Expertise: Deep understanding of developing high-performance applications for Energy use cases, specifically leveraging NVIDIA’s accelerated computing platform.
• Skills: Experience in deploying large-scale AI training and inferencing pipelines on the latest accelerated computing infrastructure.

Responsibilities

• Develop and demonstrate NVIDIA’s pioneering AI and HPC platforms to developers.
• Work directly with key customers from the Energy vertical and partners to understand their challenges and provide the best solutions based on NVIDIA products.
• Perform in-depth analysis and optimization to ensure the best performance on GPU-accelerated systems using NVIDIA software platform, including training and inference pipeline optimization.
• Partner with Engineering, Product, and Sales teams to understand developer challenges and plan suitable solutions.
• Enable development and growth of product features through customer feedback and proof-of-concept evaluations.
• Build industry expertise and contribute to integrating NVIDIA technology into Enterprise Computing architectures.
• Dynamically engage with developers, scientific researchers, data scientists, IT managers, and senior leaders.

Application Instructions

• Not specified in the provided job description.