Senior AI Infrastructure Marketing Engineer

NVIDIA; California (MO); On-site; USD 160,000 - 322,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an experienced infrastructure-focused engineer to validate DSX-aligned software stacks on multi-node GPU systems and to author reference architectures, installation guides, and runbooks. You will build demos, automation, and training materials addressing deployment, upgrades, monitoring, and security across a data-center AI stack.

You will collaborate with TME, Product, Engineering, and Marketing to demonstrate how hardware, cluster management, orchestration, AI platforms, and

Qualifications

• BS or MS in a technical field or equivalent experience.
• 8+ years of experience in infrastructure engineering, systems engineering, solutions architecture, software engineering, or related roles.
• Hands-on experience deploying and operating Linux-based data center, cloud, HPC, or AI infrastructure, including multi-node GPU systems.
• Strong working knowledge of Kubernetes and/or Slurm, including containers, operators, Helm charts, cluster lifecycle, and workload scheduling.
• Experience in bare-metal provisioning, firmware and drivers, compute, networking, storage, identity, multi-tenancy, telemetry, observability, and fleet health.
• Ability to automate deployments through scripting, APIs, configuration management, infrastructure-as-code, Git-based workflows, and CI/CD.

Responsibilities

• Validate DSX-aligned software stacks on multi-node GPU systems.
• Create reference architectures, quick-starts, installation and upgrade guides, troubleshooting runbooks, code examples, blogs, whitepapers, and demo videos.
• Build demos, labs, and training with APIs, Python/shell scripting, containers, Kubernetes, Helm, GitOps and CI/CD where applicable.
• Develop training content and labs for operating an AI factory from deployment to upgrades, monitoring, and security.
• Explain how stack layers fit together and collaborate with TME, Product, Engineering, and Marketing.
• Test pre-release software with representative workloads and provide feedback to Product/Engineering.
• Assist architects, field teams, partners, and ISVs with repeatable assets and live demos.

Skills

Kubernetes

Slurm

Automation scripting

CI/CD

Infrastructure as Code

Linux

Documentation

Communication

Cross-functional collaboration

Education

BS or MS in Computer Science/Engineering/Electrical Engineering or equivalent

Tools

Kubernetes

Docker

Helm

GitOps

Slurm

Job description

NVIDIA is seeking an experienced infrastructure-focused engineer to validate DSX-aligned software stacks on multi-node GPU systems and to author reference architectures, installation guides, and runbooks. You will build demos, automation, and training materials addressing deployment, upgrades, monitoring, and security across a data-center AI stack.

You will collaborate with TME, Product, Engineering, and Marketing to demonstrate how hardware, cluster management, orchestration, AI platforms, and