Solutions Architect, Hyperscale

We are seeking driven, high-energy, engineers to join the Solutions Architecture team in building Artificial Intelligence (AI) solutions with the world’s largest customers. This dynamic role requires excellent technical and interpersonal skills to analyze, define, implementand optimizeAI/ML and HPC software and system solutions at hyperscale.

What you’ll 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 to customers  

• 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 multiple priorities  

• 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 

 
We make extensive use of conferencing tools, but occasional travel is required for local on-site visit to customers and industry events.  

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!