Senior Software Engineer, Networking DGX Cloud
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About the opportunity
NVIDIA is seeking an experienced software engineer with infrastructure background to join the Cloud Foundations Automation - Development Team as a senior member. You will build and manage the automation ecosystem supporting NVIDIA's GPU Cloud and NVIDIA SuperPod deployments.
Key responsibilities
- Developing software to enable efficient network design, deployment, and day 2 management.
- Building product-focused software solutions used by internal and external customers.
- Transforming 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 environment creation and auto-populate data sources.
- Building on open-source software, designing and implementing data structures and UI interfaces to automate processes from equipment purchase to device config generation, deployment, and operations.
- Streamlining deployment mechanisms and lifecycle operations while 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.
- Identifying new opportunities to improve services and customer experience while communicating and collaborating enthusiastically with peers.
Qualifications
- BS or equivalent experience with 12+ years 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.
Nice to have
- Experience architecting, building, and deploying a network for a large scale (thousands of machines) used by hundreds of engineers.
- Hands-on experience building tooling and automation for provisioning, monitoring, and managing network infrastructure.
- Understanding of networking technologies such as VRFs, VxLAN, EVPN, BGP/OSPF/ISIS, and datacenter design.
Benefits
- Base salary range of 200,000 USD - 322,000 USD for Level 5, and 248,000 USD - 391,000 USD for Level 6.
- Eligibility for equity and benefits.
Job details
- Applications will be accepted at least until October 14, 2026.
- This posting is for an existing vacancy.
About the company
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 the next era of computing, with the GPU acting as the brain of computers, robots, and self-driving cars.
Today, NVIDIA is increasingly known as the AI computing company.
Additional information
- Base salary is determined based on location, experience, and the pay of employees in similar positions.
- 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.
