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# Network Software Engineer, Automation and Intelligence

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Salary:** $208,000.0 - $333,500.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Border Gateway Protocol, Computer Networks, InfiniBand, Python (Programming Language), Network Security, Netconf, Network Architecture, Routing, Open Shortest Path First (OSPF), Ansible, Retrieval-Augmented Generation, Large Language Models, Build Management, Git Flow, Information Technology, Drift Detection, Restful APIs, Open Network Automation Platform, Cisco, Servicenow
- **Published:** October 27, 2026
- **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Network-Software-Engineer--Automation-and-Intelligence_JR2028694

## About the Role

* MS in Computer Science, Engineering, or a related field, or equivalent experience.
 * 12+ years of experience in network engineering or network software, with experience in both build and production operations.
 * Hands-on network automation experience, such as Python, Ansible, REST/gNMI/NETCONF APIs, and Git-based workflows.
 * Solid grounding in routing, switching, and network architecture, including BGP, OSPF, EVPN/VXLAN, and MLAG.
 * Experience with multi-vendor environments (Arista, Cisco, Cumulus/NVIDIA, Palo Alto, and similar).
 * Strong problem-solving abilities and a history of managing complex projects from start to finish.

Ways to stand out from the crowd:

 * Experience implementing LLM or agent-based tooling in operations with robust oversight, including read-only restrictions, approval processes, and audit logs. Working knowledge of agent frameworks, MCP, RAG, and applying ML to telemetry or capacity analysis.
 * Familiarity with incident management and change platforms (BigPanda, ServiceNow) and source-of-truth tooling (Nautobot, NetBox).
 * Background in cybersecurity and network security practices.
 * Experience with large-scale GPU/AI fabrics, InfiniBand, RoCE, or other high-performance networks.
 * Clear communication skills and a focus on maintaining an inclusive, collaborative team culture.

## Description

* Build and deploy: Design and implement network automation for new builds and bring-ups, from zero-touch provisioning and config generation to validation and handoff to operations.
 * Operate in production: Support live networks with automated change execution, health checks, drift detection, and incident triage. Find and fix issues before they affect service levels.
 * Own the platform stack: Contribute to the source of truth, CI/CD pipelines, orchestration, and observability integrations that automation depends on.
 * Integrate AI thoughtfully: Build LLM- and agent-based network tooling that moves from read-only investigation to autonomous, self-validating change execution as each change class proves safe, with rollback, scoped boundaries, and full audit trails.
 * Work across teams: Partner with network, compute, storage, and facilities teams to turn operational difficulties into reliable, reusable software.
 * Scale automation across the team: Document, mentor, and enable other engineers to contribute to automation beyond the core team.