Senior Solutions Architect, AI Infrastructure

About the role

NVIDIA is seeking an experienced Infrastructure Solutions Architect to join a team dedicated to bringing AI hardware and software technologies to production environments. The ideal candidate will work with cloud providers and hyperscalers to develop, build, and deploy compute and networking solutions based on NVIDIA's groundbreaking AI infrastructure hardware.

Responsibilities

• Work with cloud providers and hyperscalers to develop, build, and deploy compute and networking solutions based on NVIDIA groundbreaking AI infrastructure hardware
• Collaborate with customers on Proof of Concept (POC) projects for AI solutions to address critical business needs
• Regularly conduct technical customer meetings to introduce new technologies and products, discuss features, organize workshops, and perform performance debugging sessions
• Provide recommendations to business and engineering teams on product strategy

Requirements

• Bachelor's, Master's, or PhD in Electrical/Computer Engineering, Computer Science, Physics, or related field, or equivalent experience
• 8+ years of Solutions Architect or similar technical pre-sales roles
• Strong sense of achievement, customer-oriented demeanor, and skills to drive technical pre-sales activities
• Practical knowledge of sophisticated networking for AI data centers, including GPUs, CPUs, InfiniBand, and Ethernet fabric topologies, PCIe, host networking, and switches
• Experience with end-to-end compute and network performance debugging - hosts, switches, and optics
• Effective time management and ability to balance multiple tasks
• Ability to communicate ideas clearly through documents, presentations, etc.

Qualifications

• External customer-facing skills and background
• Hands-on experience with NVIDIA Ethernet and InfiniBand networking hardware, NICs/HCAs, switches, and GPUs
• Good understanding of system hardware architecture impact on network performance, including kernel drivers, PCIe devices, NICs, DPUs, and GPUs
• Large-scale GPU infrastructure deployments experience
• Experience designing and debugging at a rack scale

Skills

• Practical knowledge of sophisticated networking for AI data centers
• End-to-end compute and network performance debugging
• Effective time management and balanced task handling
• Clear communication skills

Benefits

• Widely considered one of the technology world's best places to work
• Competitive base salary ranging from $184,000 to $287,500
• Eligibility for equity and benefits

Pay

• Base salary range: $184,000 - $287,500

Schedule

• Full-time position