Senior Staff Network Automation Engineer

Details

NVIDIA is seeking a highly skilled Senior Staff Network Automation Engineer to help build the next generation of IT networking infrastructure. The role focuses on driving efficiency and optimizing infrastructure performance across on-premises and cloud environments, supporting a major technology transformation for running AI on-premises and building infrastructure through enterprise-ready platforms and automation.

Responsibilities

• Lead the architecture, design, and implementation of network automation platforms across datacenter, cloud, campus, and enterprise environments.
• Build source-of-truth-driven automation workflows using in-house platforms and authoritative network data models.
• Design and maintain scalable data models for sites, fabrics, roles, interfaces, addressing, and deployment intent.
• Generate intent-based deployment artifacts, including cutsheets, cable matrices, rack elevations, port maps, and deployment documentation, from network models.
• Build configuration-generation pipelines using templating and infrastructure-as-code patterns to render device and service configurations from model data.
• Develop multi-vendor provisioning, onboarding, and zero-touch provisioning workflows for network platforms and services.
• Create automated validation and health-check tooling, including pre-checks, post-checks, compliance checks, and readiness checks, and integrate these tools with CI/CD and operations systems.
• Collaborate cross-functionally and provide technical leadership by setting standards for reliability, security, testability, and documentation.
• Mentor engineers and help establish platform engineering standards.

Requirements

• Bachelor’s degree or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, or a related field.
• 12 or more years of network or infrastructure engineering experience, including 7 or more years building production-grade network automation.
• Strong software engineering skills in Python and Golang. YAML, Bash, and JavaScript experience are a plus.
• Proven ability to design and deliver large-scale network automation using infrastructure-as-code and API-driven approaches.
• Hands-on experience with DCIM, IPAM, and source-of-truth platforms such as Nautobot or NetBox, including data modeling and API integration.
• Experience building configuration-generation pipelines using templating and automation frameworks such as Jinja2 and Ansible.
• Strong experience with Terraform, Ansible, or similar tools, including reusable modules, versioned workflows, and pipeline integration.
• Deep understanding of datacenter networking fundamentals, including TCP/IP, switching and routing, BGP, and EVPN/VXLAN.
• Experience with multi-vendor network platforms and network operating systems, such as NVIDIA/Mellanox, Arista, Cisco, and Juniper, and experience automating through REST APIs and CLI with secure access patterns.
• Strong DevOps mindset, including CI/CD with Jenkins or GitLab, zero-touch provisioning and onboarding, automated validation, compliance and health checks, strong Linux fundamentals, and clear cross-functional communication and ownership.

Preferred Qualifications

• Experience generating deployment artifacts from modeled intent, including cutsheets, cable matrices, rack elevations, and port mappings.
• Experience with large-scale datacenter fabrics, AI/ML infrastructure, GPU cluster networking, and HPC environments.
• Cloud and hybrid networking expertise across Google Cloud, Azure, and Oracle Cloud, including cloud exchange and data-center interconnect providers such as Equinix.
• Broad multi-vendor platform experience with Arista, Cumulus, Cisco, Palo Alto, and load balancers.
• Experience integrating observability tools such as Prometheus and Grafana with automation and validation workflows.
• Platform engineering experience with Kubernetes, containerization, and Containerlab-based testing.
• Principal-level architecture, standards, and reuse experience.
• Experience with operational documentation and collaboration tools such as Confluence, Jira, and ServiceNow.

Compensation and Benefits

The base salary range is USD 208,000–333,500 per year. Compensation is determined based on location, experience, and the pay of employees in similar positions. The position is also eligible for equity and benefits.

Applications will be accepted at least until August 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.