← All roles

Senior Software Engineer, Network Visibility Platform - DGX Cloud

NVIDIA· Engineer, SW
Apply on company site
Hybrid (Santa Clara, CA), Remote$168k - $270.3kFull-timePosted 4w ago

About the role

Senior Software Engineer on NVIDIA’s Global Network Visibility (GNV) team within the Global Network Infrastructure (GNI) organization. Lead a platform turning network topology, configuration, telemetry, and direct measurement into trusted, self-service insight to help understand network health, accelerate incident triage, and bring AI, storage, backbone, and edge infrastructure online with confidence.

Responsibilities

  • Set the architecture for a unified platform spanning topology, configuration, telemetry, active measurement, change intelligence, and self-service experiences
  • Build an authoritative network model connecting physical topology, logical overlays, configurations, and service dependencies across systems of record, and use it to catch physical and logical configuration errors during cluster bring-up
  • Define telemetry & measurement strategy combining reachability tests, streaming signals, traffic & capacity data, and change & maintenance events
  • Deliver intuitive health, path, blast-radius, and self-service exploration products that help customers answer network questions independently
  • Establish interfaces, data contracts, quality standards, and operating mechanisms that let teams contribute without fragmenting the experience
  • Drive cross-functional roadmaps; make clear tradeoffs among speed, cost, reliability, and maintainability; and mentor engineers through critical designs

Qualifications

  • Bachelor’s degree or equivalent experience, plus 10+ years of relevant industry experience
  • Record of architecting and operating large-scale software or infrastructure platforms, with strong proficiency in Python, Go, or a comparable systems language
  • Deep expertise in one area—with breadth across the others: network topology and sources of truth, telemetry and active measurement, or observability products
  • Strong data center and backbone networking fundamentals across physical connectivity, routing, overlays, services, and customer-visible failures
  • Hands-on experience across an observability stack such as Prometheus, Grafana, and OpenTelemetry, including active or synthetic monitoring and containerized deployment on Kubernetes
  • Experience with large-scale graph, relational, time-series, streaming, API, or event-driven systems that reconcile multiple sources
  • Technical leadership across teams, with strong product and operational judgment and clear tradeoffs among performance, resiliency, usability, and cost

Skills

Required:PythonGoNetwork topologyTelemetry & active measurementObservability stack

Benefits

  • equity and benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm

More open roles at NVIDIA