Senior Technical Marketing Engineer – DSX AI Infrastructure Software
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About the opportunity
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.
As an NVIDIAN, you will be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
You will collaborate closely with TME, Product, Engineering, and Marketing to demonstrate how data center hardware, infrastructure and cluster management software, orchestration, AI platforms, and workloads operate as one unified system.
Key responsibilities
- Stand up and validate complete DSX-aligned software stacks on multi-node GPU systems, capturing dependencies, configuration order, validation steps, and operational handoffs.
- Turn working deployments into useful technical content including 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, infrastructure-as-code, containers, Kubernetes, Slurm, Helm, GitOps, and CI/CD.
- Build demos, labs, and training addressing AI factory operations from initial deployment and tenant setup to upgrades, monitoring, scheduling, fault isolation, remediation, capacity management, and security.
- Test pre-release software using representative training and inference workloads to identify rough edges, assess interoperability and resiliency, and provide Engineering with clear feedback.
- Help solution architects, field teams, cloud and OEM partners, ISVs, and system integrators use the stack successfully through repeatable assets, train-the-trainer sessions, live demos, and direct support.
- Collaborate with open-source and cloud-native communities to demonstrate practical integration approaches and assist partners in expanding the DSX software stack.
- Listen for recurring problems from customers, partners, and developers to set content priorities, recommend product improvements, and track operational success.
- Present work in customer briefings, partner workshops, industry events, webinars, and internal training, with some travel required.
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, 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 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.
- Proven 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 to explain complex systems and defend technical recommendations.
- Ability to balance multiple projects, prioritize under tight deadlines, and work well across Engineering, Product, Field, Marketing, and partner 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, networking, storage, scheduling, or hardware-health issues.
- Experience with AI training and inference workloads and the requirements for operating them dependably on accelerated infrastructure.
- Experience connecting infrastructure software to facilities or operational technology systems, including power, cooling, and building management systems.
- Active participation in cloud-native, HPC, infrastructure automation, or open-source communities, including published examples or project contributions.
Benefits
- Comprehensive benefits package available at www.nvidiabenefits.com/
- Equity eligibility alongside base salary
Job details
- Location: Hybrid (#LI-Hybrid)
- Base salary range: 160,000 USD - 253,000 USD for Level 4; 200,000 USD - 322,000 USD for Level 5 (determined based on location, experience, and peer pay)
- Application deadline: Accepted at least until October 9, 2026
About the company
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years through great technology and amazing people.
Today, we are tapping into the unlimited potential of AI to define the next era of computing, with our GPU acting as the brains of computers, robots, and self-driving cars.
Doing what has never been done before takes vision, innovation, and the world's best talent.
Additional information
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
