Drimva

NVIDIA

Network Software Engineer, Automation and Intelligence

$208K–$334K

US, CA, Santa Clara · Full-time · Posted Oct 26, 2026

Experience
12+ years in network engineering or network software.
Education
MS in Computer Science, Engineering, or a related field, or equivalent experience.

About the job

Build and operate network automation systems across NVIDIA’s offices, campuses, data centers, manufacturing sites, and labs, including AI-assisted network operations.

What you'll do

  • Design and deploy network automation for new builds, provisioning, configuration, validation, and operational handoff; support production networks with automated changes, health checks, drift detection, and incident triage.
  • Contribute to automation platform components including source of truth, CI/CD, orchestration, and observability integrations.
  • Develop carefully governed LLM- and agent-based network tools, and collaborate with other teams to create reusable automation.

What they ask for

  • Hands-on network automation experience, including tools or APIs such as Python, Ansible, REST/gNMI/NETCONF, and Git-based workflows.
  • Strong knowledge of routing, switching, and network architecture, including BGP, OSPF, EVPN/VXLAN, and MLAG.
  • Experience in both network build and production operations; multi-vendor experience is requested.
  • Strong problem-solving skills and experience managing complex projects end to end.

Nice to have

  • Experience implementing LLM- or agent-based operational tooling with oversight, approvals, and audit logs; familiarity with agent frameworks, MCP, RAG, or ML applied to telemetry or capacity analysis.
  • Familiarity with BigPanda, ServiceNow, Nautobot, or NetBox; cybersecurity, high-performance networking, or GPU/AI fabric experience.

Pay

208,000 USD - 333,500 USD base salary

Tools

Python, Ansible, REST, gNMI, NETCONF, Git, BGP, OSPF

AI focus

Build LLM- and agent-based network tools, progressing from read-only investigation to autonomous, self-validating change execution with rollback, scoped boundaries, and audit trails.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 4, 2026 (UTC)