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.
What we need to see
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.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 208,000 USD – 333,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
