Senior AI Infrastructure Marketing Engineer (DSX)

NVIDIA Corporation

Santa Clara (CA)

Hybrid

USD 160,000 - 322,000

Full time

14 days+

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Benefits offered by this job

Equity

Comprehensive benefits package

Hybrid work model

Travel may be required

Job summary

NVIDIA Corporation is seeking a Senior Technical Marketing Engineer for the DSX stack, focusing on learning, deploying, and educating customers on the complete AI factory software and hardware integration.

You will build reference architectures, guides, demos, and trainings, collaborating with TME, Product, Engineering, and Marketing to demonstrate how data center hardware, software, and workloads operate as a unified system. Travel will be required.

Qualifications

BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
8+ years of experience in infrastructure engineering, systems engineering, solutions architecture, software engineering, technical marketing engineering, site reliability engineering, or a related role.
Hands-on experience deploying and operating Linux-based data center, cloud, HPC, or AI infrastructure, including multi-node GPU systems and production operational practices.
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, Ethernet or InfiniBand networking, storage, identity, multi-tenancy, secrets or certificate management, telemetry, observability, and fleet health.
Ability to automate deployments and operations through scripting, APIs, configuration management, infrastructure-as-code, 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. You can explain a complex system and defend a technical recommendation to both business and technical partners.
Ability to balance multiple projects and constituents, prioritize under tight deadlines, and work well across Engineering, Product, Field, Marketing, and partner teams.

Responsibilities

Stand up and validate complete DSX-aligned software stacks on multi-node GPU systems.
Capture dependencies, configuration order, validation steps, and handoffs as you go.
Turn working deployments into reference architectures, quick-starts, installation and upgrade guides, troubleshooting runbooks, demos, blogs, and whitepapers.
Build reusable examples and automation with APIs, Python or shell scripting, infrastructure-as-code, containers, Kubernetes, Slurm, Helm, GitOps or equivalent, and CI/CD.
Create demos, labs, and training addressing deployment, tenant setup, upgrades, monitoring, scheduling, fault isolation, remediation, capacity, and security.
Show how stack layers fit together with cross-functional teams to demonstrate integrated operation of hardware, software, orchestration, AI platforms, and workloads.
Test pre-release software with representative workloads; provide feedback to Product and Engineering to prevent issues for customers.
Help solution architects, field teams, partners, ISVs, and system integrators use the stack through assets, trainings, live demos, and direct support.
Collaborate with open-source and cloud-native communities to improve integration, usability, and documentation.