Solutions Architect, AI Factory Infrastructure

NVIDIA Gruppe; California (MO); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is hiring a seasoned technical specialist to architect and scale high‑performance AI infrastructure for customers, both on‑prem and in the cloud. You will collaborate with sales teams, engage with customer engineers and executives, and lead deployments from design‑in to end‑of‑life, ensuring robust operation and customer satisfaction.

Ideal candidates have 5+ years in high‑tech IT, strong Kubernetes/Docker experience, and proficiency with AI tooling and monitoring stacks.

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.
• Be a technical specialist on NVIDIA products, 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, focusing on deep learning inference.
• Lead the product through its lifecycle, from design‑in to end‑of‑life, ensuring execution and customer satisfaction.
• Maintain NVIDIA infrastructure components and collect findings at the customer site.
• Offer technical and sales training to direct sales teams and channel partners.

Skills

Time management

Communication

English proficiency

Cross-functional collaboration

Education

BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science

Tools

Kubernetes

Slurm

Docker

VMware

Linux KVM

Redfish

Grafana

Prometheus

Job description

What you'll be doing:

• 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 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%.

What we need to see:

• 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.

Ways to stand out from the crowd:

• This role requires hands‑on experience and extensive ability to solve problems within the customer infrastructure.
• Kubernetes (K8S) is an infrastructure‑orchestration software platform (NVIDIA Mission Control).
• Practical knowledge of NVIDIA systems technology, such as DGX, NVL72, MGX and HGX systems, is a huge plus.
• Experience working with OEMs in industrial, military, and ruggedized computing spaces.
• Understanding of DC power / cooling and rack placements.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000USD– 241,500USD for Level3, and 184,000USD– 287,500USD for Level4.

You will also be eligible for equity and benefits.

NVIDIA is committed to fostering an inclusive work environment and is a proud equal‑opportunity employer. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.