AI Infra Architect — GPU HPC & Cloud/On‑Prem

NVIDIA; California (MO); On-site; USD 152,000 - 287,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a highly skilled technologist to architect and scale AI infrastructure across on‑prem and cloud environments. You’ll work with Kubernetes, Slurm, Docker, and modern monitoring tools to support sales and customer success teams, traveling ~25–30% to customer sites.

Responsibilities span design‑in to end‑of‑life lifecycle, with a focus on deep learning inference, site reliability, and cross‑functional collaboration. Equity and comprehensive benefits are offered.

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 (Claud, 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

• Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud, built with the latest NVIDIA GPU computing.
• Be a technical specialist on NVIDIA products, directly supporting sales account managers to secure build wins.
• 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 entire lifecycle, from design-in to end-of-life, ensuring detailed 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

AI tools

Redfish

Grafana

Prometheus

Site reliability

Education

B.S. or M.S. in Engineering/CS/Physics

Tools

DGX

NVL72

MGX

HGX

Job description

NVIDIA is seeking a highly skilled technologist to architect and scale AI infrastructure across on‑prem and cloud environments. You’ll work with Kubernetes, Slurm, Docker, and modern monitoring tools to support sales and customer success teams, traveling ~25–30% to customer sites.

Responsibilities span design‑in to end‑of‑life lifecycle, with a focus on deep learning inference, site reliability, and cross‑functional collaboration. Equity and comprehensive benefits are offered.