NVIDIA Logo

NVIDIA

Senior Software Engineer, Networking DGX Cloud

Reposted 4 Days Ago
In-Office or Remote
4 Locations
200K-391K Annually
Senior level
In-Office or Remote
4 Locations
200K-391K Annually
Senior level
Build and maintain network automation and orchestration software for NVIDIA GPU Cloud and SuperPod deployments. Design/configure centralized configuration management, integrate cloud provider APIs, implement data pipelines and streaming telemetry, and automate lifecycle operations from procurement to deployment. Collaborate with infrastructure experts to deliver zero-touch, production-grade network provisioning, monitoring, and management tools.
The summary above was generated by AI

NVIDIA is looking for an experienced software engineer with infrastructure experience to become a senior member of the Cloud Foundations Automation - Development Team. We build and manage the automation ecosystem supporting NVIDIA's GPU Cloud and NVIDIA SuperPod deployments. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us. If you're creative and autonomous, we want to hear from you!

What you'll be doing:

  • Developing software to enable efficient network design, deployment and day 2 management.

  • Building product focused software solutions, used by internal and external customers.

  • Helping us as we transform our workflows and organization into a centrally orchestrated configuration management framework, operating at scale across geographies.

  • Owning and driving integrations with various service APIs such as Cloud Service Providers, to automate creation of environments and auto populate data sources in turn.

  • Building on open source software, designing and implementing data structures and UI interfaces to automate processes from equipment purchase to device config generation to deployment to operations.

  • Streamlining deployment mechanisms and life cycle operations Developing modern service architectures around streaming data and event pipelines.

  • Working with infrastructure domain experts on true, zero touch deployment solutions and utilizing best of breed high performance computing management solutions.

  • Be a proactive problem solver, looking out for new opportunities to improve our services and customer experience. Communicate readily with your peers across the organization, building relationships and collaborating enthusiastically.

What we need to see:

  • BS or equivalent experience with 12+ yrs of relevant industry experience.

  • Background in networking and network automation (Datacenter / PoPs / Routing)

  • Strong proficiency in Python and Go web frameworks.

  • Experience building and shipping production quality software products.

  • Experience with DCIM tools like Netbox or Nautobot and expertise in designing and implementing network configuration management systems.

  • Familiarity with containerization using Kubernetes (on-premises, EKS) and streaming telemetry protocols like gRPC/GNMI.

Ways to Stand out from the crowd:

  • You have architected, built, and deployed a network for a large scale (1000s of machines) in the past, used by 100s of engineers

  • Hands-on experience with building tooling and automation for provisioning, monitoring, and managing the network infrastructure.

  • Understanding of networking technologies such as VRFs, VxLAN, EVPN, BGP/OSPF/ISIS and datacenter design.

NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — 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, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. 

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
200,000 USD – 322,000 USD for Level 5; and 248,000 USD – 391,000 USD for Level 6.

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.

Similar Jobs

7 Minutes Ago
Remote or Hybrid
US
78K-108K Annually
Mid level
78K-108K Annually
Mid level
Information Technology
Provides reactive, case-based support for Microsoft core infrastructure across multiple customer environments. Troubleshoots Windows Server, Active Directory, domain controllers, Group Policy, DNS, DHCP, SCCM, endpoint management, and related technologies. Manages service cases, documents resolutions, communicates with customers, meets service-level commitments, participates in on-call rotations, supports infrastructure improvements, and collaborates with technical teams. Provides customer guidance, peer mentoring, technical documentation, and escalation support while identifying potential customer needs.
Top Skills: Active DirectoryAzureDhcpDnsDomain ControllersEndpoint ManagementGroup PolicyMicrosoft 365SccmWindows Server
7 Minutes Ago
Remote or Hybrid
US
86K-119K Annually
Mid level
86K-119K Annually
Mid level
Information Technology
Build and support enterprise data ingestion, transformation, modeling, and integration solutions using Microsoft Fabric and Azure data services. Develop batch, API, file, database, and event-driven pipelines; create dimensional and curated data models; write and optimize SQL; resolve data-quality and pipeline issues; and support production workloads. Collaborate in Agile engineering processes using GitHub, Azure DevOps, CI/CD, code reviews, and reusable development standards.
Top Skills: Azure Data FactoryAzure Data LakeAzure DevopsAzure Key VaultAzure Service BusAzure SqlAzure StorageCi/CdDelta LakeGitGitJSONMicrosoft FabricPysparkPythonRest ApisSQLSQL Server
17 Minutes Ago
Remote or Hybrid
United States
80K-109K Annually
Entry level
80K-109K Annually
Entry level
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Participates in a structured rotational IT program supporting digital transformation, enterprise technology, data, process improvement, and project delivery initiatives. Responsibilities include project planning, tracking, reporting, process analysis, documentation, dashboard development, testing, change management, stakeholder communication, data review, automation, prototyping, and translating business needs into technology solutions.
Top Skills: Cloud TechnologiesCybersecurityEnterprise SystemsGitGitJIRAMS OfficeMicrosoft TeamsPower BISharepointSoftware DevelopmentTableauVisio

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account