Description
Join NVIDIA's Network Automation & Intelligence Platforms team as a Network Software Engineer, Automation & Intelligence. You'll build and operate innovative network automation systems across corporate offices, campuses, HPC data centers, contract manufacturing sites, and labs.
Responsibilities:
- Design and implement network automation for new builds and bring-ups, from zero-touch provisioning and config generation to validation and handoff to operations.
- Support live networks with automated change execution, health checks, drift detection, and incident triage.
- Contribute to the source of truth, CI/CD pipelines, orchestration, and observability integrations that automation depends on.
- Build LLM- and agent-based network tooling that moves from read-only investigation to autonomous, self-validating change execution.
- Partner with network, compute, storage, and facilities teams to turn operational difficulties into reliable, reusable software.
- Document, mentor, and enable other engineers to contribute to automation beyond the core team.
Requirements:
- 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.
Preferred Qualifications:
- Experience implementing LLM or agent-based tooling in operations with robust oversight.
- 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.
Benefits:
- Highly competitive salaries
- Comprehensive benefits package
- Equity eligibility
- Visit www.nvidiabenefits.com/ for more information.