The Senior Technical Marketing Engineer at NVIDIA will focus on educating the AI factory ecosystem about operating the entire stack, including GPU infrastructure and related technologies. This role involves creating technical content and reusable examples to facilitate the deployment and operation of AI factories. The engineer will collaborate with various teams to demonstrate how different components work together and provide support to partners and customers. The position requires a blend of technical expertise and communication skills to present findings and solutions effectively.

• 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.
• Strong working knowledge of Kubernetes and/or Slurm, including containers, operators, Helm charts, cluster lifecycle, and workload scheduling.
• Ability to automate deployments and operations through scripting, APIs, configuration management, infrastructure-as-code, Git-based workflows, and CI/CD.
• Excellent written, verbal, and visual communication skills.

• Stand up and validate complete DSX-aligned software stacks on multi-node GPU systems.
• Turn working deployments into useful technical content such as reference architectures and installation guides.
• Build reusable examples and automation with APIs, Python or shell scripting, and infrastructure-as-code.
• Create demos, labs, and training that address the practical aspects of operating an AI factory.
• Test pre-release software using representative training and inference workloads.
• Help solution architects and partners use the stack successfully through repeatable assets and direct support.
• Collaborate with open-source and cloud-native communities to improve the DSX software stack.
• Listen for recurring problems and use those signals to set content priorities and recommend product improvements.
• Present work in customer briefings, partner workshops, and industry events.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.