Senior DSX AI Infrastructure Marketing Engineer

Nvidia Corporation in; Santa Clara (CA); Hybrid; USD 160,000 - 322,000; Full time

Job summary

NVIDIA DSX is seeking a Senior Technical Marketing Engineer to design, document, and demonstrate end-to-end AI infrastructure stacks on multi-node GPU systems. Lead deployment validation, create reference architectures, and produce practical demonstrations and training materials for partners and customers.

You’ll collaborate with Engineering, Product, and Marketing to showcase how data center hardware, orchestration software, and AI workloads operate as a cohesive system, while engaging with

Qualifications

• BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or another technical field, or equivalent experience.
• 8+ years of experience in infrastructure engineering, systems engineering, solutions architecture, software engineering, technical marketing engineering, SRE, or a related role.
• 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 several core infrastructure domains, such as bare-metal provisioning, firmware and drivers, compute, networking, storage, identity, multi-tenancy, secrets, telemetry, observability, and fleet health.
• Ability to automate deployments and operations through scripting, APIs, configuration management, IaC, Git-based workflows, and CI/CD.
• Examples of technical work for practitioner audiences, such as deployment guides, documentation, reference architectures, code repositories, demos, workshops, blog posts, conference talks, or training.
• Excellent written, verbal, and visual communication skills; ability to explain a complex system and defend a technical recommendation.

Responsibilities

• Stand up and validate complete DSX-aligned software stacks on multi-node GPU systems.
• Turn working deployments into useful technical content: reference architectures, quick-starts, installation and upgrade guides, troubleshooting runbooks, code examples, blogs, whitepapers, and demo videos.
• Build reusable examples and automation with APIs, Python or shell scripting, IaC, containers, Kubernetes, Slurm, Helm, GitOps or equivalent, and CI/CD where they fit.
• Build demos, labs, and training addressing deployment, tenant setup, upgrades, monitoring, scheduling, fault isolation, remediation, capacity management, and security.
• Show how the layers of the stack fit together; collaborate with TME, Product, Engineering, and Marketing to demonstrate integration of data center hardware, infrastructure, orchestration, AI platforms, and workloads.
• Test pre-release software using training and inference workloads; provide clear feedback to Product/Engineering.
• Help solution architects, field teams, cloud and OEM partners, ISVs, and system integrators use the stack through assets, live demos, and direct support.
• Collaborate with open-source and cloud-native communities to demonstrate practical integration approaches and address usability.

Skills

Kubernetes

Slurm

Automation

SRE/DevOps

Documentation

Communication

Python scripting

CI/CD

Education

BS/MS in CS/CE/EE or equivalent

Tools

Git

Helm

Containers (Docker)

Job description

NVIDIA DSX is seeking a Senior Technical Marketing Engineer to design, document, and demonstrate end-to-end AI infrastructure stacks on multi-node GPU systems. Lead deployment validation, create reference architectures, and produce practical demonstrations and training materials for partners and customers.

You’ll collaborate with Engineering, Product, and Marketing to showcase how data center hardware, orchestration software, and AI workloads operate as a cohesive system, while engaging with