Senior Software Engineer, Network Visibility Platform – DGX Cloud
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About the opportunity
As a Senior Software Engineer on NVIDIA’s Global Network Visibility (GNV) team within the 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 by defining durable interfaces, leading cross-domain decisions, and guiding build-versus-buy choices.
Success in this role means your platform is credible, widely adopted, and deeply trusted by engineering teams across the organization.
Key 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 to catch 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 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.
Nice to have
- 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.
Benefits
- Base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5, determined by location, experience, and peer pay.
- Eligibility for equity and comprehensive company benefits.
Job details
- Location: NVIDIA Global Network Infrastructure organization.
- Application deadline: Applications accepted at least until October 8, 2026.
About the company
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for over 25 years through a legacy of innovation and dynamic talent.
Today, the company taps into the unlimited potential of AI to define the next era of computing, using the GPU as the brain of computers, robots, and self-driving cars.
NVIDIA is widely considered one of the world's most desirable employers in technology for creative and autonomous professionals.
Additional information
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
