AI Infrastructure Architect — GPU Compute & Kubernetes

NVIDIA

Town of Texas (WI)

On-site

USD 152,000 - 287,500

Full time

14 days+

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Job summary

NVIDIA in Wisconsin is seeking a senior AI infrastructure engineer to architect and scale high-performance AI infrastructure both on‑prem and cloud, supporting sales and customers with NVIDIA GPU solutions.

You will manage relationships with customers, lead product lifecycle, provide on-site support for DL inference, and train teams. Travel ~25-30%. Base salaries for Level 3: $152,000–$241,500; Level 4: $184,000–$287,500; equity included.

Qualifications

  • BS or MS in Engineering, Electrical Engineering, Physics, or CS (or equivalent).
  • 5+ years in high-tech IT with NCP, CSP, site reliability & virtualization (VMware, Linux KVM).
  • 5+ years of Kubernetes, Slurm, Docker experience.
  • Proficiency with AI tools (Claud, Codex, Perplexity), Redfish, Grafana, Prometheus.
  • Strong time management and prioritization.
  • Excellent written and spoken English; able to collaborate with teams.

Responsibilities

  • Help architect and scale high-performance, distributed AI infrastructure on‑prem or in the cloud.
  • Be a technical specialist on NVIDIA products, supporting sales to secure builds.
  • Establish and cultivate technical relationships with engineers, management, and architects at key accounts.
  • Provide on-site support to solve hardware and software problems, focusing on DL inference.
  • Lead the product through its lifecycle from design-in to end-of-life with execution and customer satisfaction.
  • Maintain NVIDIA infrastructure components at the customer site.
  • Offer technical and sales training to direct sales teams and channel partners.
  • Travel approximately 25-30%.

Skills

Strong communication
Time management
Multitasking
English proficiency

Education

Bachelor's or Master’s in Engineering, Electrical Engineering, Physics, or Computer Science

Tools

Kubernetes
Slurm
Docker
VMware
Linux KVM

Job description

NVIDIA in Wisconsin is seeking a senior AI infrastructure engineer to architect and scale high-performance AI infrastructure both on‑prem and cloud, supporting sales and customers with NVIDIA GPU solutions.

You will manage relationships with customers, lead product lifecycle, provide on-site support for DL inference, and train teams. Travel ~25-30%. Base salaries for Level 3: $152,000–$241,500; Level 4: $184,000–$287,500; equity included.

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