Solutions Architect, Hyperscale

NVIDIA • Santa Clara, CA

6d • $152,000 - $287,500 • Hybrid

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 hyperscale.

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 practical 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: High school or GED