Solutions Architect, CSP GTM

NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Generative AI, Data Science applications and Machine Learning (ML) to work with our Hyperscaler partners. In our Solutions Architecture team, we work with the most exciting platform for accelerated computing and drive the latest breakthroughs in artificial intelligence. We need individuals who can enable customer and partner productivity. Our goal is to develop long-lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone who is always thinking about artificial intelligence, someone who can maintain alignment in a fast paced and constantly evolving field.

You will be working with the latest NVIDIA technologies coupled with the most advanced CSP infrastructures, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA, our Hyperscaler partners and our end-customers. For this role, the primary focus will be on our strategic partnership with Google (GCP). Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key technical executives and managers to evangelize accelerated computing and Generative AI. Dynamically engaging with developers, 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 challenges and solutions.

What You’ll Be Doing:

• Develop anddemonstratesolutions based onHyperscalersandNVIDIA’spioneeringGenAIsoftware and hardware technologies todevelopers
• Work directly with key customersand ourHyperscalerspartnersto understand theirchallengesand provide the best solutionsbased on NVIDIA products
• Perform in-depth analysis and optimization to ensure the best performance on GPU-acceleratedsystemsusing NVIDIA softwareplatform. This includes support in optimization of both training and inference pipelines
• Partner with Engineering, Product and Sales teams tounderstanddeveloper’schallenges andplanforthebestsuitable solutions. Enable development and growth of product features through customer feedback and proof-of-concept evaluations
• Build industryexpertiseand become a contributor in integrating NVIDIA technology into Enterprise Computing architectures

What We Need to See:

• 5+ years of Solutions Architect/Engineering or similar experience in AI-related fields
• Excellentability to listen, bothverbalandwritten communicationskills, andbeing comfortable with presentingtechnicalsolutionsin English
• Expertisein deploying large-scale training and inferencing pipeline onHyperscaler’sinfrastructure, with a focus on GCP
• MS/PhDor equivalentin Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields
• A proventrack recordof academic and/or industry experience in fields related to machine learning, deeplearningand/or data science
• You are excited to work with multiple levels and teams across organizations (Engineering, Product,Salesand Marketing team)
• You are a self-starter withinterest ingrowth, passion for continuous learning and sharing findings across the team

Ways to Stand Out from The Crowd:

• Background with Hyperscaler platforms such as GCP
• Experience running and optimizing large scale distributed DL training
• Experience optimizing inference pipeline, using a range of inferencing technics (e.g., understanding of model compression techniques, model compilation or model serving)
• Background with working with larger transformer-based architectures
• Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc.