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IREN

Operates renewable-powered AI GPU cloud infrastructure

Director Industrial Engineering

Manufacturing EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$152k - $205k

About the Job

Requirements

  • A minimum of 8 years of experience in industrial engineering, operations, or continuous improvement roles is required, ideally within construction, manufacturing, or large-scale infrastructure delivery.
  • Experience with Lean or Six Sigma methodologies, labor productivity analysis, and make-versus-buy or sourcing cost modeling is required.
  • A strong analytical and data and analytics background, including experience building scorecards, key performance indicators, and performance dashboards, is required.
  • Experience leading cross-functional teams and driving lessons-learned processes that connect field execution back to design is required.
  • A bachelor's degree in Industrial Engineering, Operations, or a related field is required.
  • Must be able to reliably commute to the assigned office location on scheduled in-office days under the hybrid work arrangement.
  • Pre-employment screening, including background checks, may be required according to company policies.

Responsibilities

  • Direct the Industrial Engineering lead's team in tracking and modeling on-site labor hours per megawatt as a leading indicator of delivery performance across projects.
  • Own manhour forecasting to support project planning, resourcing decisions, and portfolio-level labor productivity targets.
  • Own the make-versus-buy analytical framework, including cost and capacity analysis to determine whether modules, subassemblies, or scopes of work should be built in-house or through an external manufacturing partner.
  • Partner directly with the Make versus Buy analyst to keep analysis current as manufacturing partner capacity, cost, and project pipeline evolve, and feed decisions into Project Management's supplier planning.
  • Direct the Operational Excellence lead's team in implementing Lean construction principles and continuous improvement methodologies across the industrialized delivery program.
  • Own a structured lessons-learned and feedback loop connecting commissioning, construction, and fabrication to design, ensuring field observations update standard designs and specifications.
  • Oversee training and data and analytics functions supporting program-wide performance tracking and workforce development.
  • Own the industrialized delivery performance scorecard, covering off-site build percentage, module installation cycle times, factory acceptance test pass rates, field rework, schedule compression, and total cost of ownership, and report program health to the VP.
  • Evaluate automation, digital fabrication, and smart manufacturing technologies, including building information modeling-to-fabrication workflows, digital twin alignment, and factory-level quality assurance tools, for integration into the delivery pipeline.
  • Recruit, build, and lead the Industrial Engineering and Operational Excellence teams, including the Industrial Engineering lead, Operational Excellence lead, and Make versus Buy analyst.
  • Foster a culture of data-driven decision-making and continuous improvement within the team.

Desired Qualifications

  • Lean Six Sigma certification at Green Belt or Black Belt level is preferred.
  • Experience in hyperscale, colocation, or owner-operator data center development is a plus.

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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