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NVIDIA

Designs the chips and software that power AI

Solutions Architect - Networking Ethernet

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in AustraliaNo salary listed

About the Job

Requirements

  • A Bachelor of Science, Master of Science, or Doctor of Philosophy or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.
  • At least five or more years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture.
  • Proficiency in configuring, testing, validating, and resolving issues in local area networks, especially in medium to large-scale high-performance computing and artificial intelligence environments.
  • Advanced knowledge of Ethernet Virtual Private Network, Border Gateway Protocol, Open Shortest Path First, and Virtual Extensible LAN protocols.
  • Hands-on experience with network switch and router platforms such as Cumulus Linux, SONiC, IOS, Junos OS, and EOS.
  • Extensive experience delivering automated network provisioning solutions using Ansible, Salt, and Python.
  • Ability to develop continuous integration and continuous deployment pipelines for network operations.
  • Strong focus on customer needs and satisfaction.
  • Self-motivated with leadership skills to work collaboratively with customers and internal teams.
  • Strong written, verbal, and listening skills in English.

Responsibilities

  • Building and operating AI/HPC infrastructure for new and existing customers.
  • Supporting operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting.
  • Engaging in and improving the whole lifecycle of services—from inception and design through deployment, operation, and refinement.
  • Maintaining services once they are live by measuring and monitoring availability, latency, and overall system health with emphasis on performance and availability optimisations to meet requirements and service level agreements.
  • Providing feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

Desired Qualifications

  • Experience with NVIDIA Spectrum networking in large-scale deployments.
  • Familiarity with cloud networks such as Amazon Web Services, Google Cloud Platform, and Microsoft Azure.
  • Background with RDMA-based fabrics such as InfiniBand or RoCE in HPC or AI environments.
  • Experience with high-performance computing architectures, understanding of Kubernetes and container-based microservices and how job schedulers (Slurm, PBS) work.
  • Cluster management technologies knowledge with bonus credit for Base Command Manager and/or Run.AI, as well as experience with GPU-focused hardware and software such as NVIDIA DGX, CUDA, Network/GPU Operator.

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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