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NVIDIA

Designs the chips and software that power AI

Senior Solutions Architect - Continuous Bring Up Networking

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listedRemote

About the Job

Requirements

  • At least 8 years of professional experience in networking fundamentals, especially in AI/HPC clusters with the NVIDIA platform.
  • Proficiency in configuring, testing, validating, and resolving issues in InfiniBand or Ethernet networks.
  • Advanced knowledge of EVPN, BGP, OSPF, and VXLAN protocols.
  • Hands-on experience with network switch/router platforms such as Cumulus Linux, SONiC, IOS, JunosOS, and EOS.
  • Ability to develop CI/CD pipelines for network operations.
  • Strong focus on customer needs and satisfaction.
  • Self-motivation and leadership skills to work collaboratively with customers and internal teams.
  • Strong written, verbal, and listening skills in English are essential.

Responsibilities

  • Stabilize NVIDIA AI Factory clusters after they are handed over to the customer following deployment by the NVIDIA Infrastructure Specialist team.
  • Address customer questions and change requests related to network topology or networking-perspective workload optimization to help customers expand their clusters.
  • Work internally with CBU DevOps, responsible for the cluster orchestration layer, and the Infrastructure Solutions Architect, responsible for the initial cluster design.
  • Provide pre-sales support as an Infrastructure Solutions Architect from time to time, depending on the situation, in addition to post-sales support.

Desired Qualifications

  • Familiarity with NVIDIA Reference Architecture or NVIDIA Reference Design, consisting of the compute fabric, storage fabric, or management fabric.
  • Linux or networking certifications.
  • Experience with NVIDIA cluster orchestration software such as Mission Control, Base Command Manager, or Run:ai.

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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