NVIDIA, the world leader in accelerated computing, is seeking a Senior Network Automation Architect for their DGX Cloud team. This role combines deep networking expertise with infrastructure-as-code principles to enable rapid, reliable, and secure deployment of Kubernetes clusters at scale. The position offers a competitive salary range of $168,000 - $322,000, depending on level and experience, plus equity and comprehensive benefits.
The ideal candidate will be responsible for designing and implementing end-to-end automation frameworks for provisioning Baremetal and Kubernetes clusters across hybrid and multi-cloud environments. They will work closely with SREs, platform engineers, and network teams to automate cluster lifecycle management and integrate provisioning workflows with CI/CD pipelines.
Key responsibilities include designing scalable automation for Kubernetes cluster provisioning, building Infrastructure-as-Code templates, implementing security policies, and delivering comprehensive observability solutions. The role requires extensive experience with Kubernetes networking, service meshes, and modern DevOps tools and practices.
NVIDIA's deep learning platforms have made major impacts across leading academic institutions, startups, and industry, including the world's largest Internet companies. The company is known for being one of technology's most desirable employers, offering opportunities to work on cutting-edge solutions in deep learning cloud infrastructure.
This is an excellent opportunity for a seasoned professional with 8+ years of network engineering experience to join a company at the forefront of AI and accelerated computing, working on sophisticated cloud infrastructure that powers some of the most advanced technological solutions in the world.