Technical Marketing Engineer - DSX AI Infrastructure Software

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA DSX integrates facilities infrastructure, hardware, software, simulation, and partner technologies to build and operate efficient AI factories. We’re hiring a Technical Marketing Engineer to help customers build, deploy, and operate GPU compute clusters using DSX software. We combine hands-on cluster validation, practical content, and field training to support adoption. You’ll own technical enablement for selected DSX capabilities across cluster deployment and operations.
What you'll be doing:
Validate component release readiness and create documentation that helps customers deploy and use the software. You’ll be a technical resource for assigned components, explaining their architecture, interfaces, behavior, and limitations. Develop workflows for provisioning, configuration, integration, upgrades, and troubleshooting, with attention to reliability and security.
Develop reusable integrations, tools, and examples in component languages, including Go or Rust where appropriate. Build from source, write automated tests, and participate in code review. Validate integrations and contribute workflows to broader architectures and adoption paths. We document prerequisites, expected results, and limitations so others can reproduce our work.
Create user and deployment guides, labs, troubleshooting material, demos, and recorded walkthroughs. Align assets with release milestones. Manage agreed projects through repository-based authoring, preview, review, publication, and maintenance.
Evaluate releases from a new customer’s perspective. Follow the docs, deploy workflows, and investigate failures using logs, configuration, and testable hypotheses. We use findings and audience feedback to improve product usability, onboarding, and technical assets.
Develop technical positioning for assigned capabilities, explaining target users, use cases, benefits, and differentiation. Support claims with validated examples and create technical blogs, launch content, and field presentations. Deliver training and event demos with setup and presenter guidance others can use. Some travel is required.
What we need to see:
BS or MS in computer science, engineering, or a related field, or equivalent experience; 8+ years in software, infrastructure, systems, solutions engineering, technical marketing, or a related technical role.
Programming experience in at least one relevant language, including reading unfamiliar code, debugging, and writing tests. Familiarity with Git, pull requests, and build workflows.
Experience with Linux, containers, and Kubernetes deployment and troubleshooting; API or messaging integration, including authentication, configuration, and error handling.
Practical experience building, deploying, or operating compute clusters or distributed infrastructure, with the ability to troubleshoot issues and explain system behavior.
Clear written, verbal, and visual communication, demonstrated through technical guidance, demos, or training you helped create.
Ability to learn unfamiliar technology, test assumptions, deliver projects independently, and collaborate with specialists while incorporating feedback.
Ways to stand out from the crowd:
We welcome examples of Go or Rust work, open-source contributions, or tools others use.
Experience with NVIDIA DSX, DGX, or NVIDIA enterprise software components, AI training or inference workloads, or cluster deployment automation is a plus. Share labs, guides, or demos that helped others adopt software.
NVIDIA is widely considered one of the technology world's most desirable employers. If you are creative, technically curious, and autonomous, we want to hear from you! NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
160,000 USD – 253,000 USD for Level 4; and 200,000 USD – 322,000 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 18, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills
Rust, Git, Linux, Kubernetes, Onboarding, Documentation