GPU Infra Solutions Architect — On-Prem/Cloud, Equity

NVIDIA; Town of Texas (WI); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA seeks a Solutions Architect to join its AI Factory infrastructure deployment team to architect and scale high-performance AI infrastructure on-prem or in the cloud, built with NVIDIA GPU systems for new and existing customers.

You will be a technical specialist, supporting sales, building strong customer relationships, and translating architectures into actionable deployments while traveling roughly a quarter to a third of the time.

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).
• 4+ 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 social 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 supercomputers for new and existing customers.
• Be a technical specialist on GPU and networking products, directly supporting sales account managers to secure build wins.
• Actively establish and nurture technical relationships with engineers, management, and architects at key customer accounts.
• Identify customer architectures and key product requirements in the CSP/OEM AI market to efficiently implement NVIDIA's solutions.
• 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

AI tools proficiency

Communication in English

Time management

Multi-initiative coordination

Customer/technical training

Education

BS or MS in Engineering/EE/Physics/CS

Tools

Kubernetes

Slurm

Docker

Redfish

Grafana

Prometheus

VMware

Linux KVM

Job description

NVIDIA seeks a Solutions Architect to join its AI Factory infrastructure deployment team to architect and scale high-performance AI infrastructure on-prem or in the cloud, built with NVIDIA GPU systems for new and existing customers.

You will be a technical specialist, supporting sales, building strong customer relationships, and translating architectures into actionable deployments while traveling roughly a quarter to a third of the time.