AI Factory Solutions Architect - Forward-Deployed

2100 NVIDIA USA; California (MO); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a highly technical Solution Architect to serve as a forward-deployed technical liaison between NVIDIA’s Partner Network, internal teams, and enterprise customers. You will architect and enable AI factory deployments based on NVIDIA reference designs in large-scale data centers.

Responsibilities include planning, validating architectures, mentorship, and developing runbooks to accelerate AI factory adoption while ensuring reliability, scalability, and cost efficiency.

Qualifications

• Bachelor’s degree in Engineering or related field.
• 8+ years in hyperscale data centers and infrastructure delivery.
• Proven expertise in data center systems: power, cooling, racks and cabling.
• Excellent written and verbal communication with customers and partners.
• Willingness to travel up to 25%.
• Ability to coordinate with cross-functional teams.

Responsibilities

• AI Factory deployment planning and collaboration with product, engineering and partners.
• Build and optimize processes, partner relationships and workflows.
• Review installation plans, cabling, hardware compatibility and BOMs.
• Conduct pre-deployment audits for risks and improvements.
• Implement QA processes to meet specs and benchmarks.
• Create partner-facing playbooks, guides and runbooks.
• Provide hands-on mentorship and workshops to partners.
• Represent customers/partners to NVIDIA internal teams and product groups.

Skills

Data center engineering

Hyperscale data centers

Infrastructure delivery

Communication

Time management

Travel readiness

Education

Bachelor's degree in Engineering or related field

Job description

NVIDIA is seeking a highly technical Solution Architect to serve as a forward-deployed technical liaison between NVIDIA’s Partner Network, internal teams, and enterprise customers. You will architect and enable AI factory deployments based on NVIDIA reference designs in large-scale data centers.

Responsibilities include planning, validating architectures, mentorship, and developing runbooks to accelerate AI factory adoption while ensuring reliability, scalability, and cost efficiency.