Process Engineer

Crusoe · Data AI · Tulsa, OK - US · Manufacturing (MFG)

This role is for a Process Engineer at Crusoe, an AI infrastructure company. The engineer will focus on the data architecture and processes that govern manufacturing data, ensuring seamless flow through manufacturing processes. Responsibilities include defining data standards, managing product configurations, reviewing designs for manufacturability, documenting processes, and driving continuous improvement in the engineering-to-production workflow. The role requires expertise in ERP systems, engineering drawings, and process thinking.

What you'd actually do

  1. Define and maintain the standards for how complex assemblies are structured. You determine the logic for "Make vs. Buy" signals, Phantom BOMs, and how sub-assemblies are partitioned for the most efficient procurement flow. You also document these standards so they are repeatable, transferable, and auditable across the team.
  2. Lead the strategy for product variations and options. You ensure that our ERP logic can handle engineering changes and product configurations without errors or miscommunication and that configuration rules are formally documented and version-controlled alongside the product.
  3. Audit new engineering releases for manufacturability within the system. You identify if a design is structured in a way that will drastically affect our supply chain or inventory logic before it reaches their hands. Additionally, you will track those findings back in documented design guidelines that prevent the same issues from recurring.
  4. Develop and own the end-to-end process documentation for how engineering data enters, moves through, and is maintained within our ERP environment. This includes writing and maintaining SOPs, workflow diagrams, and decision frameworks that give cross-functional teams a clear, shared understanding of how our processes work and why.
  5. Expanding beyond simple ECO execution. You analyze the technical risk of engineering changes, determining the ideal design cutoff point for production and coordinating transition plans for in-process components. You document ECO decision criteria and transition procedures to build institutional knowledge and reduce cycle time over time.

Skills

Required

  • Bachelor's degree (B.S.) in Engineering (Industrial, Systems, Mechanical) or technical equivalent.
  • 2–5+ years in a technical role where you managed the intersection of Engineering Data and ERP systems.
  • Expertise in ERP logic (e.g., Acumatica, SAP, NetSuite). You should understand MRP (Material Requirements Planning) logic, lead-time offsets, and demand signals.
  • Proficiency in reading engineering drawings and understanding CAD structures.
  • Demonstrated ability to design structured workflows, write clear SOPs, and build processes that others can follow and build on — not just solve problems in the moment.
  • Not just fixing data errors, but following root cause analysis through to permanent process-level solutions that prevent recurrence.
  • Comfort with methodologies like Lean, Six Sigma, or PDCA — and a habit of asking whether a process is not just working, but working as well as it could.

What the JD emphasized

  • own the high-level logic of our manufacturing data
  • own the data architecture
  • own the end-to-end process documentation
  • technical risk of engineering changes
  • drive structured improvement initiatives
  • root cause of recurring data errors
  • prevent recurrence