Responsibilities

• Illustrate methods for deploying and managing infrastructure software: Build automation, demos, and reference examples showing how to deploy and manage NVIDIA’s infrastructure software components.
• Build and drive integrations across the stack: Collaborate with Technical Marketing Engineering, Product, Engineering, and Field teams to demonstrate how different layers of data center hardware, infrastructure management software, AI platforms, and AI use cases work together.
• Enable the field with compelling technical assets: Publish content like reference architectures, deployment guides, and code examples to help field teams and partners integrate our technologies. This will involve customer-facing engagements alongside our Solution Architects.
• Engage and support the developer community: Advocate for our technology within the cloud-native ecosystem, encouraging support and adoption of NVIDIA’s infrastructure software.

Requirements

• 8+ years data center and infrastructure expertise: Strong understanding of configuring and deploying data center systems, including compute nodes, storage, and networking.
• Experience with cloud-native deployments: Familiarity with managing containerized deployments and working with Kubernetes clusters.
• Experience with infrastructure-as-code: Experience in developing automation for managing and deploying infrastructure software and cloud-native technologies.
• Cloud computing and security: Background in cloud AI/ML platforms, cloud security concepts, and multi-tenant architecture.
• Cross-functional collaboration: Ability to work alongside multiple teams and customers, providing valuable input and feedback while steering the progress of NVIDIA’s technologies.
• Technical prowess: Ability to delve into and contribute to engineering developments, defend technical opinions, and make informed prioritized decisions, acting independently with strong problem-solving skills.
• BS or MS in engineering, computer science, or another technical field (or equivalent experience).

Preferred

• Experience with more than one cloud service provider.
• Familiarity working with NVIDIA DPUs and DOCA and/or switch operating systems like Cumulus Linux and MLNX-OS.
• Experience with managing security of the tenant and/or physical/virtual environments and understanding of secure key management and certificate lifecycle operations (PKI concepts, OCSP, CRLs, enrollment protocols, key rotation, revocation, etc).
• Familiarity with NVIDIA technologies and products including Base Command Manager, DGX Cloud, Run:ai, GPU Operator, Network Operator, etc.
• Experience with Slurm and/or Kubernetes-based MLOps platforms.

Benefits

• NVIDIA offers highly competitive salaries and a comprehensive benefits package.
• You will also be eligible for equity and benefits.