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Crusoe

Builds AI data centers near cheap energy

Master Scheduler

Production Planning & SchedulingConfirmed live in the last 24 hours
Full-timeBrighton, CO, USA$120k - $135kIn-person

About the Job

Requirements

  • A bachelor's degree in engineering, data analysis, manufacturing, business, or a related field is required.
  • At least 7 years of demonstrable experience in production planning or scheduling is required.
  • Strong analytical, time-management, and organizational skills are required, including the ability to consume large amounts of data and produce concise schedule reports.
  • Ability to hard-code in data programs such as Google Sheets using the Script application is required.
  • Solid computer literacy in Microsoft Office and Google products, specifically Excel and Sheets, and an ability to learn new software applications quickly are required.
  • Efficiency with scheduling programs such as Microsoft Project, Primavera P6, Monday.com, or similar is required.
  • Experience with software related to schedule and demand planning, preferably Material Requirements Planning (MRP) or Enterprise Resource Planning (ERP) systems such as Acumatica, Oracle ERP, SAP, SAGE, or Infor is required.
  • Proven manufacturing experience, ideally in metal or electrical manufacturing, and a solid understanding of material flow principles are required.
  • The role requires the ability to lift, lower, push, and pull merchandise of all sizes up to 50 pounds, and to stand, walk, stoop, and bend for 8 hours or more daily, with constant use of arms, hands, fingers, eyes, legs, and back.
  • The position is safety-sensitive and/or located in a safety-sensitive facility; participation in a drug and alcohol program and passing a background check are required.

Responsibilities

  • Create and maintain the master production schedule to ensure continuous and efficient plant operations across multiple manufacturing locations, detailing daily production activities and forecasting across all facilities for 12 weeks.
  • Analyze resources, determine production rates, and process data to produce accurate resource-allocated production schedules.
  • Create scheduling reports that identify material shortages, potential customer shipment issues, and labor requirements.
  • Communicate the 3-week and 12-week master schedules to the Production Manager, production schedulers, and Project Managers; lead production schedule review meetings, provide project status updates, and communicate potential delays.
  • Review schedules to proactively identify potential workforce, materials, and shipping issues, and communicate them to the leadership team.
  • Monitor, identify, and manage opportunities to improve the overall scheduling process.
  • Identify critical paths, resolve resource conflicts, address material availability challenges, and troubleshoot manufacturing issues.
  • Interface with MRP data, currently Acumatica, to incorporate production rates, material availability, and project timelines into the master schedule.
  • Drive cross-departmental cooperation among procurement, materials management, and production to ensure accurate lead times, current inventories, and warehouse levels and optimize order fulfillment.

Desired Qualifications

  • Experience with Arena Simulation or other Industrial Engineering software programs.
  • Experience with automation programs such as Microsoft Power Automate to automate time-consuming tasks between programs.

About the Company

Crusoe

Builds AI data centers near cheap energy

Crusoe builds and runs data centers for artificial intelligence, placing them near cheap or otherwise wasted energy and handling everything from the power supply to the cloud software. It developed the flagship campus in Abilene, Texas, for Stargate, the AI infrastructure project backed by OpenAI and Oracle. AI companies rent its GPU servers on demand or under longer contracts through Crusoe Cloud to train and run their models, while larger customers lease entire campuses that Crusoe develops and operates for them. The company was founded in 2018, when it began running computers at oil fields on natural gas that would otherwise have been burned off, and it is based in Denver.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$14.5B
Headquarters
Denver, CO
Founded
2018

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