AI Factory Infra Architect — GPU-Powered, On/Cloud, Equity

NVIDIA

Kentucky

On-site

USD 152,000 - 287,500

Full time

14 days+

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Job summary

NVIDIA in Kentucky seeks an experienced AI infrastructure engineer to architect and scale high‑performance, distributed AI systems on‑prem or in the cloud, leveraging NVIDIA GPU supercomputers to support new and existing customers.

You will work as a technical specialist with sales teams, cultivate customer relationships, provide on‑site support for hardware and software issues (deep learning inference focus), and lead product lifecycle to maximize customer satisfaction; travel ~25–30%.

Qualifications

  • BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).
  • 5+ years of work‑related experience in high‑tech IT companies with experience in NCP, CSP, site reliability, and virtualization technologies (VMware, Linux KVM).
  • 5+ years of working experience with Kubernetes, Slurm, Docker, etc.
  • Proficiency with AI tools (Claude, Codex, Perplexity, etc.), Redfish, Grafana, and Prometheus.
  • Remarkable talent for effectively handling multiple initiatives and priorities.
  • Strong time‑management and communication skills for coordinating complex projects.
  • Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams.

Responsibilities

  • Architect and scale high‑performance, distributed AI infrastructure on‑prem or in the cloud, built with the latest NVIDIA GPU systems for customers.
  • Be a technical specialist on NVIDIA products, directly supporting sales account managers.
  • Actively establish and cultivate technical relationships with engineers, management, and architects at key customer accounts.
  • Provide on‑site support to solve hardware and software problems, with a focus on deep learning inference.
  • Lead the product through its lifecycle, from design‑in to end‑of‑life, ensuring execution and customer satisfaction.
  • Actively maintain the NVIDIA side of infrastructure components and collect findings at the customer site.
  • Offer technical and sales training to direct sales teams and channel partners.
  • The expected travel requirement is approximately 25‑30%.

Skills

Kubernetes
Slurm
Docker
VMware
Linux KVM
Redfish
Grafana
Prometheus
Claude
Codex
Perplexity

Education

BS in Engineering
MS in Engineering
Electrical Engineering
Physics
Computer Science

Tools

VMware
Linux KVM
Docker
Kubernetes
Slurm
Redfish
Grafana
Prometheus

Job description

NVIDIA in Kentucky seeks an experienced AI infrastructure engineer to architect and scale high‑performance, distributed AI systems on‑prem or in the cloud, leveraging NVIDIA GPU supercomputers to support new and existing customers.

You will work as a technical specialist with sales teams, cultivate customer relationships, provide on‑site support for hardware and software issues (deep learning inference focus), and lead product lifecycle to maximize customer satisfaction; travel ~25–30%.

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