Senior Solutions Architect, AI Factory

Position Overview

• Location Type: Remote
• Job Type: Full Time
• Salary: Not specified

NVIDIA is seeking AI Supercomputing Solutions Architects to join their NVIDIA Infrastructure Services effort. This role focuses on supporting academic and commercial groups in leveraging NVIDIA products for deep learning, data analytics, and scientific simulation, utilizing the world’s fastest AI supercomputers. Solutions Architects will serve as primary technical contacts for customers, requiring excellent interpersonal skills and a blend of deep AI/HPC knowledge with expertise in accelerated computing and architecture at scale.

Responsibilities

• Be an inspiring leader in integrating NVIDIA technology into IT infrastructures, focusing on performance at scale, reliability, manageability, and real-time monitoring.
• Interact with end-users in academia and industry, understanding their goals and needs, and delivering high-value solutions.
• Identify gaps and propose/develop prototypical solutions.
• Demonstrate accelerated computing and AI workflows, deliver trainings using NVIDIA GPUs and software for AI research.
• Groom power users to be NVIDIA champions (e.g., DLI Ambassadors).
• Communicate customer requirements to NVIDIA Engineering to foster product improvements.

Requirements

• Experience: 3+ years of research experience in Deep Learning with a track record of scientific publications.
• LLM Expertise: Experience with Large Language Models (LLM) training and adaptation, including knowledge of floating-point arithmetic at micro-scale.
• Passion: Passion for accelerated computing.
• Education: Graduate degree from a leading university in a STEM-related field.
• Skills:
  • Action-oriented with strong analytical skills.
  • Strong organization and time management skills to thrive in a fast-paced, multi-task environment.
  • Self-motivated and independent, with the ability to work independently with minimal day-to-day direction.
  • Significant experience in High-Performance Computing (HPC) or Deep Learning.
  • Strong collaboration and social skills, with the ability to communicate effectively with customers and across organizations.
  • Experience with DL frameworks, multi-GPU computing, and Generative AI.
  • Fluent in English (oral and written).

Ways to Stand Out

• Experience with data curation pipelines at scale, including data formats, filtering, and cleaning.

Company Information

NVIDIA has been redefining computer graphics and accelerated computing for 30 years. They are committed to fostering a diverse and supportive environment where innovation thrives.