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Solutions Architect, Networking Ethernet

NVIDIA
Sydney, AUS
Full-time
Mid-Senior
Onsite
Discovered 1 months ago
Networking fundamentalsTCP/IPData center architectureLAN networkingEVPN, BGP, OSPF, and VXLANCumulus Linux, SONiC, IOS, JunosOS, and EOS

Full Job Posting

Role Overview

NVIDIA is seeking a Senior Networking Solutions Architect for its ANZ team, focused on NVIDIA Neo Clouds and ideally located in Melbourne or Sydney.

The role works with customers, partners, Neo Clouds, and internal teams to analyze, define, implement, and operate large-scale networking projects.

The scope combines networking, system design, operations, automation, and customer-facing technical leadership.

What You'll Be Doing

  • Build and operate AI/HPC infrastructure for new and existing customers.
  • Support reliability of large-scale AI clusters through performance monitoring, logging, and alerting.
  • Manage services from inception and design through deployment, operation, and refinement.
  • Monitor availability, latency, and system health while optimizing service performance to meet requirements and SLAs.
  • Provide internal feedback through bug reports, workarounds, and improvement suggestions.

What We Need To See

  • Bachelor's, master's, or doctoral degree, or equivalent experience, in a relevant technical field.
  • At least five years of professional experience with networking fundamentals, TCP/IP, and data center architecture.
  • Proficiency with LAN configuration, testing, validation, and troubleshooting in medium- to large-scale HPC or AI environments.
  • Advanced knowledge of EVPN, BGP, OSPF, and VXLAN.
  • Hands-on experience with Cumulus Linux, SONiC, IOS, JunosOS, and EOS.
  • Experience automating network provisioning with Ansible, Salt, and Python and developing CI/CD pipelines.
  • Strong customer focus, self-motivation, leadership, collaboration, and English communication skills.

Ways To Stand Out

  • Experience with NVIDIA Spectrum networking in large-scale deployments.
  • Familiarity with AWS, GCP, or Azure cloud networks.
  • Experience with InfiniBand or RoCE fabrics in HPC or AI environments.
  • Understanding of Kubernetes, containerized microservices, Slurm, PBS, or high-performance computing architectures.
  • Knowledge of cluster management, GPU-focused hardware and software, NVIDIA DGX, CUDA, or Network/GPU Operator.

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