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IREN

Operates renewable-powered AI GPU cloud infrastructure

Director AI Networking

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-timeSydney NSW, AustraliaNo salary listed

About the Job

Requirements

  • Extensive experience as a senior or principal engineer, or engineering leader, in large data centre, carrier, cloud or AI networks.
  • Expert-level MPLS and traffic engineering, including segment routing, with deep BGP, OSPF or IS-IS, VXLAN and EVPN skills.
  • Expert ability to configure, test, validate and troubleshoot large-scale HPC and AI networks, from Ethernet and GPU fabrics to firewalls and WAN links.
  • Deep experience across network platforms such as Cisco, Juniper and Arista.
  • Strong software engineering experience, with a track record of writing network automation and code to design, provision and operate networks and systems at scale, in languages such as Python or Go, and of applying AI to network operations.
  • A track record of building change management and operational discipline in fast-growing teams.
  • Calm, decisive leadership during incidents and clear communication afterwards.
  • The credibility to coach engineers and to challenge designs constructively.

Responsibilities

  • Set and enforce engineering standards for configuration, naming, change control and operational practice across every site, including AI and GPU fabrics.
  • Own BGP and traffic engineering policy, including transit, peering and failover behaviour across the backbone and edge.
  • Act as the top escalation point for major incidents, lead root-cause analysis, and ensure fixes are implemented.
  • Review and approve high-risk changes, method-of-procedure documents, and new site and AI cluster builds before launch.
  • Drive operational rigour through monitoring, alerting, runbooks and post-incident learning.
  • Lead the network-as-code approach by automating how the network is designed, deployed, validated and operated, ensuring changes are generated, tested and rolled out through software.
  • Write and review production code, and set the team's software practices, including Git, code review, automated testing, CI/CD and the use of AI tools.
  • Work hands-on in the network, from AI fabric bring-up to edge routing and firewall policy.
  • Partner with network architecture to turn the target design into build standards engineers can follow.
  • Shape AI networking direction by evaluating new technologies, writing designs and standards, and representing AI networking with vendors, partners and the wider industry.
  • Lead a small team, and mentor and grow senior and mid-level engineers across the global team.

Desired Qualifications

  • Experience with NVIDIA Spectrum networking at scale, HPC architectures, cluster management such as NVIDIA Base Command Manager or Run: AI, and GPU platforms such as NVIDIA DGX, CUDA and the Network and GPU Operators.

About the Company

IREN

Operates renewable-powered AI GPU cloud infrastructure

IREN runs renewable-powered AI cloud and digital infrastructure by operating data centers and GPU clusters. Customers access high-performance NVIDIA GPUs and AI training/inference infrastructure through cloud-based services powered by grid-connected and renewable energy assets. It differentiates itself through full vertical integration of energy assets with compute infrastructure and a focus on North America. The company aims to provide scalable, renewable-powered AI compute for enterprises and developers to support large-scale AI workloads.

Company size
501-1,000
Company stage
IPO
Headquarters
Sydney NSW, Australia
Founded
2018

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