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NVIDIA

Designs the chips and software that power AI

Senior Network Reliability Engineer - DGX Cloud

Network Engineering & AdministrationUpdated on Nov 9
Full-timeRemote

About the Job

Requirements

  • Deep knowledge and experience of TCP/IP, BGP, OSPF, MPLS, IS-IS, VxLAN, EVPN, QoS, GRE, IPsec, DNS, and MACsec.
  • At least five years of experience in network operations.
  • Skill in network troubleshooting techniques.
  • A strong track record of responding to alerts within defined service-level agreements and managing incidents.
  • Experience with one or more cloud service provider environments: AWS, Azure, GCP, or OCI.
  • Familiarity with Arista, Fortinet, and Juniper.
  • Hands-on experience contributing to tooling and automation for provisioning, monitoring, and managing complex network infrastructures.
  • A bachelor's degree in Computer Science, a related technical field, or equivalent experience.
  • Excellent verbal and written communication skills.

Responsibilities

  • Remediate critical alerts within defined service-level agreements, triage production-impacting network incidents, and interact with internal customers about network-related issues.
  • Engage external vendors to remediate hardware and software issues.
  • Participate in projects such as network device upgrades and capacity augmentations.
  • Provide remote support for network repairs and changes during 24/7 global shift rotations, collaborate across teams, and update customers on status and ticket information.
  • Drive operational improvements in change management and daily operations by following procedures.
  • Manage and operate large-scale IP network technologies and infrastructures.
  • Use peering and datacenter interconnect technologies, including PNI, transit, exchange, passive DWDM, and wave circuits.
  • Monitor and support the network health of on-premises and cloud infrastructures.
  • Collaborate on and develop workflow enhancements while documenting best practices.

Desired Qualifications

  • Solid understanding of Mellanox/Cumulus OS and InfiniBand technology.
  • Skill in Unix/Linux system administration and the ability to write and understand Python and shell scripts to improve efficiency in hyperscale environments.
  • Familiarity with NetBox/Nautobot, Prometheus, Grafana, and Panoptes for monitoring and managing a global network.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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