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NVIDIA

Designs the chips and software that power AI

Senior Software Engineer - Network Visibility Platform, DGX Cloud

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • A bachelor's degree or equivalent experience, plus 10 or more years of relevant industry experience.
  • A 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 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 with 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 product and operational judgment and the ability to make tradeoffs among performance, resiliency, usability, and cost.

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 a telemetry and measurement strategy combining reachability tests, streaming signals, traffic and capacity data, and change and 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 tradeoffs among speed, cost, reliability, and maintainability, and mentor engineers through critical designs.

Desired Qualifications

  • Led a network visibility or infrastructure intelligence platform spanning thousands of devices or hosts.
  • Experience with AI or HPC networks, including RDMA, RoCE over Spectrum-X, or InfiniBand.
  • Experience with network sources of truth such as NetBox or Nautobot, streaming telemetry (gRPC/gNMI), graph databases, or front-end development in TypeScript and React.
  • SRE or network operations experience, plus a record of setting standards, making build-versus-buy decisions, or contributing to open source.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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