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.
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
- BS or equivalent experience with 12+ years of relevant industry experience.
- Background in networking and network automation (Datacenter / PoPs / Routing).
- Strong proficiency in Python.
- Strong proficiency in Go 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).
- Familiarity with streaming telemetry protocols like gRPC and gNMI.
- Architected, built, and deployed large-scale networks (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.
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 — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
-
Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
-
Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.
NVIDIA Insights
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.”
