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IREN

Operates renewable-powered AI GPU cloud infrastructure

Director, Reliability Hardware Systems

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeTexas, USARemote

About the Job

Requirements

  • A Bachelor's or Master's degree in Materials Science and Engineering, Electrical Engineering, Mechanical Engineering, or a related technical field.
  • At least 15 years of overall experience in hardware reliability, failure analysis, or system qualification, including at least 8 years of management experience leading teams of 10 or more.
  • Deep understanding of physics of failure and reliability physics related to semiconductors, PCBAs, and interconnects, including electromigration, stress-induced voiding, and thermal fatigue.
  • Hands-on experience with advanced failure analysis techniques such as cross-sectioning, SEM/EDX, CSAM, X-ray, and dye and pry to identify root causes at the material and structural level.
  • Proficiency in reliability statistics, including Weibull analysis, accelerated life testing, and MTBF modelling.
  • Comprehensive knowledge of industry standards such as JEDEC, IPC, and Telcordia for component- and system-level qualification.
  • Ability to multitask across concurrent programs and coordinate reliability testing for numerous hardware platforms.
  • Ability to define new processes that improve test coverage and overall product quality.
  • Track record of coaching and developing engineering managers and presenting reliability performance, risk, and corrective action plans to senior leadership.

Responsibilities

  • Lead end-to-end reliability and failure analysis activities across the AI hardware portfolio, including GPUs, servers, racks, networking, and storage, advocating for product stability and long-term performance.
  • Direct multiple system-level reliability teams, coach, mentor, and develop engineering managers, conduct performance evaluations, and scale organizational capabilities.
  • Collaborate with Hardware Engineering, Mechanical, Thermal, PCB Layout, Manufacturing, and Quality teams to integrate reliability and quality across engineering disciplines.
  • Lead investigations of complex, intermittent field failures using advanced failure analysis techniques to establish root causes and corrective actions.
  • Use statistical tools and physics-of-failure models to predict product life cycles and identify wear-out mechanisms before they reach the field.
  • Influence product architecture by incorporating Build for Reliability and Build for Manufacturing requirements into initial hardware specifications.
  • Establish a Lessons Learned process so failure analysis results inform design rules for next-generation hardware.
  • Define and continuously improve reliability qualification processes, test coverage, and reporting to support the hardware roadmap and deployment scale.

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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