Process Engineer

Crusoe · Data AI · Brighton, CO - US · Manufacturing (MFG)

This role is for a Process Engineer at an AI infrastructure company. The primary focus is on managing the data architecture and processes for manufacturing, ensuring seamless flow through production. Responsibilities include defining data standards, configuration management, DFM reviews, process documentation, and continuous improvement initiatives. The role acts as a liaison between engineering, supply chain, and production teams.

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.
  • Analytical Problem Solving: Not just fixing data errors, but following root cause analysis through to permanent process-level solutions that prevent recurrence.
  • Continuous Improvement Mindset: 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

  • bridge between design intent and operational reality
  • own the high-level logic of our manufacturing data
  • processes that govern how that data is created, maintained, and improved
  • designing the physical parts by designing, documenting, and overseeing the data architecture
  • technical consultant to Design Engineering
  • structure our data supports scalable procurement, clear production signals, and long-term product lifecycle management
  • ERP system and project translation to production is a logical reflection of the physical product
  • processes behind it are clearly defined, consistently followed, and continuously refined
  • Define and maintain the standards for how complex assemblies are structured
  • determine the logic for "Make vs. Buy" signals, Phantom BOMs, and how sub-assemblies are partitioned for the most efficient procurement flow
  • document these standards so they are repeatable, transferable, and auditable
  • Lead the strategy for product variations and options
  • ensure that our ERP logic can handle engineering changes and product configurations without errors or miscommunication
  • configuration rules are formally documented and version-controlled alongside the product
  • Audit new engineering releases for manufacturability within the system
  • identify if a design is structured in a way that will drastically affect our supply chain or inventory logic
  • track those findings back in documented design guidelines that prevent the same issues from recurring
  • Develop and own the end-to-end process documentation for how engineering data enters, moves through, and is maintained within our ERP environment
  • writing and maintaining SOPs, workflow diagrams, and decision frameworks
  • Advanced ECO Strategy
  • analyze the technical risk of engineering changes
  • determining the ideal design cutoff point for production
  • coordinating transition plans for in-process components
  • document ECO decision criteria and transition procedures
  • build institutional knowledge and reduce cycle time over time
  • Treat your processes as living systems
  • proactively identify inefficiencies, bottlenecks, and failure points across the engineering - to - production workflow
  • drive structured improvement initiatives
  • automation, process redesign, better documentation, or cross-functional alignment
  • Data-Driven Process Auditing
  • Develop KPIs and automated audits to monitor the health of the Item Master and BOM structures
  • find the root cause of recurring data errors
  • re-engineer the process to prevent them
  • track improvement over time to demonstrate and sustain progress
  • Cross-Functional Technical Liaison
  • primary technical point of contact for the Supply Chain and Production teams
  • translate engineering intent into procurement strategies
  • ensure process changes are communicated, documented, and adopted across all affected functions
  • 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)
  • 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
  • Analytical Problem Solving
  • following root cause analysis through to permanent process-level solutions that prevent recurrence
  • Continuous Improvement Mindset
  • Comfort with methodologies like Lean, Six Sigma, or PDCA
  • habit of asking whether a process is not just working, but working as well as it could