# Senior Technical Marketing Engineer - DSX AI Infrastructure Software

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Technical-Marketing-Engineer---DSX-AI-Infrastructure-Software_JR2024197?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ac0a6a35-c7f

## Description

NVIDIA DSX brings together facilities infrastructure, hardware, software, simulation, and partner technologies to build and run efficient AI factories. We are looking for a Senior Technical Marketing Engineer to show and educate our AI factory ecosystem how to bring up and operate the entire stack, ranging from facilities and multi-node GPU infrastructure to provisioning, networking, storage, cluster orchestration, security, observability, and workload enablement.

### Responsibilities

- Stand up and validate complete DSX-aligned software stacks on multi-node GPU systems. Capture dependencies, configuration order, validation steps, and operational handoffs.

- Create technical content: reference architectures, quick-starts, installation guides, troubleshooting runbooks, code examples, blogs, whitepapers, and demo videos.

- Develop reusable examples and automation with APIs, Python or shell scripting, infrastructure-as-code, containers, Kubernetes, Slurm, Helm, GitOps, and CI/CD.

- Build demos, labs, and training for operating an AI factory, including deployment, tenant setup, upgrades, monitoring, and security.

- Collaborate with teams to demonstrate how data center hardware, infrastructure software, orchestration, AI platforms, and workloads operate as one system.

- Test pre-release software using representative workloads and provide feedback to Product and Engineering.

- Support solution architects, field teams, and partners in using the stack successfully.

- Collaborate with open-source and cloud-native communities to demonstrate integration approaches and address documentation shortcomings.

- Listen for recurring problems and use them to set content priorities and recommend product improvements.

- Present work in customer briefings, partner workshops, industry events, and internal training.

### Requirements

- 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, 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 core infrastructure domains, such as bare-metal provisioning, firmware, compute, networking, storage, identity, and telemetry.

- Ability to automate deployments and operations through scripting, APIs, and infrastructure-as-code.

- Excellent written, verbal, and visual communication skills.

- Ability to balance multiple projects and constituents, prioritize under tight deadlines, and work well across teams.

### Nice to Have

- Experience with NVIDIA DSX, DGX systems, DGX Cloud, NVIDIA AI Enterprise, BlueField DPUs, DOCA, or related NVIDIA infrastructure software.

- Experience operating large GPU clusters and diagnosing distributed performance issues.

- Experience with AI training and inference workloads and their requirements on accelerated infrastructure.

- Active participation in cloud-native, HPC, infrastructure automation, or open-source communities.

## Skills

### Required
- Linux
- GPU systems
- Kubernetes
- Slurm
- infrastructure-as-code
- APIs
- Python
- shell scripting
- containers
- Helm
- GitOps
- CI/CD
- technical writing
- communication
- project management

### Nice to have
- NVIDIA DSX
- DGX systems
- DGX Cloud
- NVIDIA AI Enterprise
- BlueField DPUs
- DOCA
- large GPU clusters
- AI training and inference workloads
- cloud-native communities
- HPC
- infrastructure automation
- open-source communities

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Technical-Marketing-Engineer---DSX-AI-Infrastructure-Software_JR2024197?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)