Senior Software Engineer, Networking DGX Cloud

NVIDIA Ltd.
Santa Clara, CA, United States
5 days ago
Apply on arc.dev
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$200,000.0 - $322,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Border Gateway Protocol Cloud Computing Configuration Management Data Centers Data Structures Data Center Infrastructure Management (CIM) Python (Programming Language) Network Architecture Network Planning and Design Routing Open Shortest Path First (OSPF)
+11 more
Cloud Services Software Engineering Software Systems Data Streaming Web Application Frameworks High Performance Computing Computer Network Technologies Containerization Kubernetes Free and Open-Source Software Open Network Automation Platform

Job description

  • 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.

Requirements

  • 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.

Benefits & conditions

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level 5, and 248,000 USD - 391,000 USD for Level 6.

About the company

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!, 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on arc.dev
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:23 min

Closing thoughts and educational resources for edge network engineering

Austin Gil · LIVE

2:04 min

Enhancing network privacy with routing fees and onion routing

Andreas M Antonopoulos · LIVE

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

51 sec

Repurposing hardware and operating underwater data centers

Chris Heilmann +1 · LIVE

1:34 min

Pivoting careers into specialized platform engineering roles

Xavier Portilla Edo · LIVE

1:51 min

Overview of the three Google Maps routing applications

Germán Álvarez · LIVE

Videos

See all

Related articles

See all