IREN
IREN
201 – 500 Zaposleni
B2BEnergetikaUmetna inteligenca
IREN razvija in upravlja visokozmogljiva podatkovna središča za umetno inteligenco ter storitve oblaka z grafičnimi procesorji v Severni Ameriki. Njena infrastruktura je zasnovana za zahtevne delovne obremenitve usposabljanja in izvajanja modelov umetne inteligence ter združuje podatkovna središča na ključ, kolokacijo strojne opreme v lasti strank in upravljan dostop do grafičnih procesorjev. Vertikalno integrirani model podjetja vključuje upravljanje objektov in neprekinjeno podporo na lokaciji, podatkovna središča pa se napajajo z energijo iz obnovljivih virov in potrdili o energiji iz obnovljivih virov. Rastoči infrastrukturni portfelj podjetja IREN obsega lokacije v Združenih državah Amerike in Kanadi ter podpira obsežne zmogljivosti za umetno inteligenco na delujočih lokacijah, lokacijah v gradnji in lokacijah v fazi razvoja.

Staff Network Development Engineer

Architect network automation, telemetry, and AI operations software for IREN’s renewable data centers and GPU clusters across North America, Europe, and APAC.

Opis

  • Shape the architecture and roadmap for IREN’s network automation platform, covering source of truth, configuration generation, deployment, validation, and automated remediation.
  • Build core services and write and review production code in Python or Go.
  • Establish engineering standards for network software, including system design, testing, code review, CI/CD, releases, and reliability.
  • Lead large-scale network telemetry, observability, and analytics design to automate operations.
  • Guide AI and machine learning for network operations, including anomaly detection, troubleshooting assistants, and automated change reviews.
  • Work with network architecture, security, and engineering leaders to make the network software-defined from design through operations.
  • Safeguard automated production changes and lead software-related incident reviews.
  • Mentor senior engineers and strengthen the team’s network software engineering capabilities.

Zahteve

  • Extensive experience as a senior or staff software, network development, or site reliability engineer working with large data center, cloud, or hyperscale networks.
  • Expertise in software engineering with Python or Go.
  • Demonstrated success designing and delivering production distributed systems, services, and APIs.
  • Deep knowledge of network automation platforms, YANG data models, streaming telemetry, and closed-loop automation.
  • Strong knowledge of BGP, OSPF or IS-IS, MPLS with traffic engineering, VXLAN, and EVPN.
  • Experience with large-scale HPC and AI networks.
  • Experience with Cisco, Juniper, and Arista network platforms and their programmable interfaces.
  • A clear perspective on applying AI and machine learning to network operations.
  • Ability to set technical direction, influence across teams, and coach senior engineers.
  • Experience with NVIDIA Spectrum networking, RoCE or InfiniBand, HPC, or GPU platforms is highly regarded.

Ugodnosti

  • Base salary, annual performance incentives, and equity programs.
  • Annual incentive bonus.
  • Long-term incentive equity.
  • Company-paid medical, dental, and vision insurance premiums for employees.
  • Company-paid coverage of 75% of dependent health insurance premiums.
  • Company-paid short-term and long-term disability insurance.
  • Optional life, critical illness, and accident coverage.
  • Health Savings Accounts (HSA) 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 and paid holidays.
  • Internal skills training and advancement pathways.
  • Professional development for certifications, continuing education, or role-related training.
  • Company events and team-building activities.

Sorodna delovna mesta

CDW

Principal Consulting Engineer, Enterprise AI

CDW

Lead enterprise AI architecture and delivery for CDW, spanning generative AI, agentic systems, MLOps, and accelerated infrastructure. Shape client engagements, technical standards, strategic sales work, and development of CDW’s AI Factory practice.

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