Director, AI Networking & Scale Infrastructure

Iris Energy; Sydney; On-site; AUD 260,000 - 380,000; Full time

Job summary

Iris Energy seeks a senior network engineering leader to design, implement and operate large-scale AI and GPU networks across our data-centre footprint.

You will own BGP policy, traffic engineering, network-as-code and incident leadership while mentoring a global engineering team; experience with Cisco/Juniper/Arista, Python or Go, and NVIDIA Spectrum tech is highly valued. This role requires calm, decisive leadership during incidents and clear post-incident communications.

Qualifications

• 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 network automation and code to design, provision and operate networks at scale, in languages such as Python or Go, and of applying AI to network operations.
• 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 is highly regarded.
• 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 our 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, leading root-cause analysis and making sure fixes stick.
• Review and approve high-risk changes, method-of-procedure documents and new site and AI cluster builds before they go live.
• Drive operational rigour: monitoring, alerting, runbooks and post-incident learning.
• Lead our network-as-code approach: automate how the network is designed, deployed, validated and operated, so that every change is generated, tested and rolled out through software.
• Write and review production code yourself, and set the software practices the team follows, 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 IREN's AI networking direction: evaluate new technologies, write the designs and standards others build on, and represent our AI networking with vendors, partners and the wider industry.
• Lead a small team, and mentor and grow senior and mid-level engineers across our global team.
• Competitive salary range finalized based on experience and impact
• Short and long-term incentive programs designed to reward both results and long term company success

Skills

Senior engineer leadership

MPLS and traffic engineering

BGP/OSPF/IS-IS

NVIDIA Spectrum networking

Python

Go

Network automation

AI in network operations

Leadership

Mentoring

Tools

Cisco

Juniper

Arista

Job description

Iris Energy seeks a senior network engineering leader to design, implement and operate large-scale AI and GPU networks across our data-centre footprint.

You will own BGP policy, traffic engineering, network-as-code and incident leadership while mentoring a global engineering team; experience with Cisco/Juniper/Arista, Python or Go, and NVIDIA Spectrum tech is highly valued. This role requires calm, decisive leadership during incidents and clear post-incident communications.