
201 - 500 Mitarbeiter
🤖 Künstliche Intelligenz
🤝 B2B
⚡ Energie
Artificial Intelligence • B2B • Energy
IREN ist ein Anbieter von speziell entwickelten, leistungsstarken KI-Rechenzentren und GPU-Cloud-Diensten in ganz Nordamerika. IREN entwickelt, besitzt und betreibt große, energiedichte Einrichtungen, die für anspruchsvolle KI-Trainings- und Inferenz-Workloads konzipiert sind, und bietet schlüsselfertige Rechenzentren, Colocations für Kundenhardware und verwalteten GPU-Cloud-Zugang. Das Unternehmen legt besonderen Wert auf vertikale Integration, 24/7 Vor-Ort-Unterstützung und den Betrieb seiner Einrichtungen mit 100% erneuerbarer Energie (einschließlich RECs). Derzeit listet IREN sechs Standorte in Nordamerika auf (darunter Sweetwater, Childress, Oklahoma, Prince George, Mackenzie und Canal Flats) mit einer gesicherten Stromkapazität von etwa 5 GW, mehreren hundert bis tausend MW pro Standort in den Phasen Betrieb, Bau und Entwicklung sowie rund 4. 900 Acres gesichertem Land für KI-Infrastruktur.
🕒 vor 6 Tagen
🗣️🇺🇸🇬🇧 Englisch erforderlich
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201 - 500 Mitarbeiter
🤖 Künstliche Intelligenz
🤝 B2B
⚡ Energie
Artificial Intelligence • B2B • Energy
IREN ist ein Anbieter von speziell entwickelten, leistungsstarken KI-Rechenzentren und GPU-Cloud-Diensten in ganz Nordamerika. IREN entwickelt, besitzt und betreibt große, energiedichte Einrichtungen, die für anspruchsvolle KI-Trainings- und Inferenz-Workloads konzipiert sind, und bietet schlüsselfertige Rechenzentren, Colocations für Kundenhardware und verwalteten GPU-Cloud-Zugang. Das Unternehmen legt besonderen Wert auf vertikale Integration, 24/7 Vor-Ort-Unterstützung und den Betrieb seiner Einrichtungen mit 100% erneuerbarer Energie (einschließlich RECs). Derzeit listet IREN sechs Standorte in Nordamerika auf (darunter Sweetwater, Childress, Oklahoma, Prince George, Mackenzie und Canal Flats) mit einer gesicherten Stromkapazität von etwa 5 GW, mehreren hundert bis tausend MW pro Standort in den Phasen Betrieb, Bau und Entwicklung sowie rund 4. 900 Acres gesichertem Land für KI-Infrastruktur.
• Design, build and commission high-performance storage systems that serve large GPU compute clusters, ensuring storage architecture meets the throughput and latency demands of AI training and inference workloads. • Own the full operational lifecycle of storage infrastructure from initial deployment through day-to-day performance management, capacity growth and end-of-life planning. • Manage and maintain storage networking fabrics connecting storage systems to GPU compute, ensuring the interconnect is never the bottleneck. • Evaluate new storage hardware, software and approaches as the technology landscape evolves and IREN's footprint grows. • Monitor storage system health, performance and capacity continuously; define meaningful thresholds and act on them before they become incidents. • Tune storage systems for the specific I/O patterns of AI workloads and document what works. • Plan and manage storage capacity proactively, working across teams to anticipate demand ahead of new cluster deployments. • Maintain high availability across storage tiers; design and validate resilience mechanisms so that single points of failure are understood and mitigated. • Diagnose and resolve storage incidents with urgency. • Conduct thorough root cause analysis following significant incidents; produce clear write-ups and implement changes that prevent recurrence. • Participate in on-call rotation to provide coverage for storage-related production issues; act as the escalation point for storage during major incidents. • Work closely with technology and operations teams on new cluster builds, ensuring storage is ready and validated. • Produce and maintain technical documentation that is accurate and current. • Contribute to the technical evaluation of storage vendors and products; represent IREN's requirements clearly in vendor and partner conversations.
• Seven or more years of hands-on storage engineering experience in production environments, with meaningful time spent operating storage at significant scale. • A track record of deploying, operating and troubleshooting storage systems that serve demanding compute workloads. • Experience working in or alongside data center environments; comfortable in the physical layer as well as the software layer. • Prior exposure to the specific demands of AI training and inference I/O patterns is a strong advantage. • Strong understanding of cloud platforms. • Deep, practical knowledge of at least one major parallel or distributed file system used in high-performance environments. • Strong written and oral communication skills and the ability to interact effectively with executive leadership, service providers and potentially members of the community • Superior time management and multitasking skills with a strong sense of urgency • Proven active listening and speaking skills • Post secondary education in Computer Science or a related field.
• Total Compensation package may be inclusive of annual incentive bonus, equity (long-term incentive). • Relocation or Living-out-allowance / per diem (as appliable and based on successful candidate circumstances) • 100% company paid health insurance premiums(medical, dental, and vision)for employees, 75% company paid coverage for dependents • Company-paid short-term and long-term disability insurance • Voluntary life, critical illness, and accident coverage available • Health Savings Accounts (HSA) – when combined with the High Deductible Health Plan • Employee Assistance Program and wellness resources • 401(k) retirement plan with company match • Access to financial planning and legal services • Paid Time Off (PTO) and paid holidays • Internal skills training and advancement pathways • Professional development to support certifications, continuing education, or role related training • Company events and team-building activities
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