Nvidia Solutions Architect Hyperscale 

United States, California 

2292715

time type

Full time

posted on

Posted 5 Days Ago

job requisition id

driven, high-Artificial Intelligence (AI) solutionscustomersThis dynamic role requires excellent technical and interpersonal skills to analyze, define,AI/ML and HPC softwareand systemsolutions at

be doing:

• Develop and demonstrate AI software and hardware solutions with Hyperscalers

• Build customers’ trust and understand their unique needs

• Be the go-to technical resource for customers building complex infrastructure as well as help them understand performance characteristics for the best solution

• Partner with Sales or Developer Relations and Product team to identify and secure business opportunities for NVIDIA products and solutions.

• Conduct technical meetings for project/product details, feature discussions, and debugging sessions

• Develop Proof of Concept (PoC) solutions for critical business needs

• Prepare and deliver technical presentations and workshops tocustomers

• Address and optimize customer AI systems performance issues

What we need to see:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other equivalent engineering fields (or equivalent experience)

• 5+ years of Solutions Engineering or similar experience in AI-related fields

• Passion for enhancing customer experience

• Proficiency in AI, ML and HPC applications

• Comprehensive knowledge of computer system architecture including PCIe, networking, etc and their impact on AI application performance

• Experience in designing, running and troubleshooting performance benchmarks for AI systems including GPU and multi-node systems

• Ability to work independently and manage multiplepriorities

• Excellent communication skills to act as a trusted advisor to customers

Ways to stand out from the crowd:

• Unique combination of strong interpersonal skills and technical proficiency

• In-depth knowledge and hands-on experience with ML/DL/AI including performance testing

• Background with NVIDIA hardware and software along with practical Experience with GPU systems

• Experience working with or calling on Cloud Service Providers (e.g., Meta)

• Highlight external customer-facing skills and experience

for local on-siteto customers and industry events.