AI Factory Deployment Architect

NVIDIA Gruppe

California (MO)

On-site

USD 210,000 - 357,000

Full time

5 days ago
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Job summary

NVIDIA is seeking a forward‑deployed engineer to lead AI Factory deployment planning and ensure successful implementation of NVIDIA reference architectures in customer data centers.

You will collaborate with product, engineering and partners to optimize performance, scalability and cost, while delivering hands‑on mentorship, workshops and runbooks to build partner expertise. This role requires travel and strong cross‑team communication.

Qualifications

  • Bachelor's degree in Engineering or related field.
  • 8+ years in hyperscale data center infrastructure or equivalent.
  • Expertise in data center systems—power distribution, liquid cooling, racks/server chassis, cabling.
  • Strong communication skills for field deployment and executive levels.
  • Willingness to travel up to 25% and coordinate across teams.

Responsibilities

  • AI Factory deployment planning with product, engineering and partners to implement NVIDIA reference architecture.
  • Build and oversee installation plans, including cabling, BOM reviews and hardware compatibility.
  • Assess operational readiness and perform pre deployment audits for data centers and hardware.
  • Implement quality assurance processes to meet specifications and performance benchmarks.
  • Develop partner-facing playbooks, deployment guides and runbooks for AI factory deployments.
  • Provide hands-on mentorship and conduct workshops for partners on NVIDIA AI factory deployments.
  • Serve as liaison to convey field insights and deployment challenges to NVIDIA product and engineering teams.

Skills

Data center infra
Hyperscale data centers
Power distribution
Liquid cooling
Rack/server chassis
Cabling
Executive communication
Project coordination

Education

Bachelor's degree in Engineering

Job description

NVIDIA is seeking a forward‑deployed engineer to lead AI Factory deployment planning and ensure successful implementation of NVIDIA reference architectures in customer data centers.

You will collaborate with product, engineering and partners to optimize performance, scalability and cost, while delivering hands‑on mentorship, workshops and runbooks to build partner expertise. This role requires travel and strong cross‑team communication.

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