Senior AI Infra Architect for Hyperscale Data Centers

NVIDIA Corporation

Texas

On-site

USD 184,000 - 357,000

Full time

3 hours ago
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Job summary

NVIDIA Corporation seeks a Senior Solutions Architect to drive strategic product deployments from launch to scale across global hyperscale customers. You will bridge product strategy with large-scale customer deployments, architect high‑performance AI infrastructure, and provide deep technical support to secure design wins.

The role requires hands-on system design, experience with datacenter platforms, and excellent communication in English.

Qualifications

  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
  • 8+ years of work experience in high-tech electronics, system design, or technical customer support.
  • Technical ability to analyze logs and deployment data to guide customer resolutions.
  • Excellent written and verbal English communication, with collaboration across teams.

Responsibilities

  • Architect and scale high-performance, distributed AI infrastructure on-prem or in cloud for customers.
  • Serve as a technical specialist for GPU and networking products to support design wins.
  • Provide on-site support to solve complex hardware/software problems, focusing on deep learning inference.
  • Analyze deployment data and logs to assess health and guide customers to resolution of blockers.
  • Build technical solutions including demos and sample system designs.
  • Deliver technical and sales training to direct sales and channel partners.

Skills

Technical acumen
Analytical
English fluency

Education

BS/MS/PhD in Engineering/CS/Physics

Job description

NVIDIA Corporation seeks a Senior Solutions Architect to drive strategic product deployments from launch to scale across global hyperscale customers. You will bridge product strategy with large-scale customer deployments, architect high‑performance AI infrastructure, and provide deep technical support to secure design wins.

The role requires hands-on system design, experience with datacenter platforms, and excellent communication in English.

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