Senior Software Engineer, Network Visibility Platform - DGX Cloud

Posted 2 Days Ago
Hiring Remotely in Santa Clara, CA, USA
In-Office or Remote
168K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Leads architecture and development of NVIDIA’s network visibility platform, integrating topology, configuration, telemetry, active measurement, change intelligence, and self-service tools. Builds authoritative network models, defines observability and measurement strategies, establishes data contracts and quality standards, and delivers health, path, and blast-radius insights. Drives cross-functional roadmaps, build-versus-buy decisions, operational tradeoffs, and technical mentorship across large-scale infrastructure systems.
Summary Generated by Built In

As a Senior Software Engineer on NVIDIA’s Global Network Visibility (GNV) team within NVIDIA's Global Network Infrastructure (GNI) organization, you will lead the platform that turns network topology, configuration, telemetry, and direct measurement into trusted, self-service insight. Your work will help teams understand network health and customer impact, accelerate incident triage, and bring AI, storage, backbone, and edge infrastructure online with confidence.


You will set direction across authoritative network data, scalable measurement, and customer-facing visibility products. You will define durable interfaces, lead cross-domain decisions, and guide build-versus-buy choices. Success means the platform is credible, adopted, and trusted.


What you'll be doing:

  • 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 & 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

What we need to see:

  • 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

Ways to stand out from the crowd:

  • 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

NVIDIA is widely considered one of the world's most desirable employers in technology. We have some of the world's most forward-thinking and passionate people working for us. If you're creative and autonomous, we want to hear from you!


NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for over 25 years. It’s a unique legacy of innovation fueled by great technology—and dynamic people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 27, 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.

Skills Required

  • Bachelor's degree or equivalent experience
  • 10+ years of relevant industry experience
  • Experience architecting and operating large-scale software or infrastructure platforms
  • Strong proficiency in Python, Go, or a comparable systems language
  • Deep expertise in 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 observability tools such as Prometheus, Grafana, and OpenTelemetry
  • Experience with 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
  • Experience leading 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 NetBox, Nautobot, streaming telemetry using gRPC or gNMI, graph databases, or TypeScript and React front-end development
  • SRE or network operations experience
  • Experience setting standards, making build-versus-buy decisions, or contributing to open source

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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