Solutions Architect, Hyperscale

NVIDIA • Us, CA

1d

About The Position

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, implement and optimize AI/ML and HPC software and system solutions at hyper scale .

Requirements

• 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

Nice To Haves

• 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 p ractical Experience with GPU systems
• Experience working with or calling on Cloud Service Providers (e.g., Meta)
• Highlight external customer-facing skills and experience

Responsibilities

• 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

Benefits

• equity
• benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees