Industrial Engineer

LuminizeDallas, TX
10d$105,000 - $135,000Onsite

About The Position

At Luminize, we help brands win, and as one of the top 5 Amazon sellers in the US, we're looking for top performers to grow with us. We're not just moving products — we're building the infrastructure behind one of the fastest-growing Amazon operations in the country. We're looking for an Industrial Engineer to own the efficiency of our warehouse operations: eliminating waste, setting labor standards, and redesigning workflows across an 8,000+ SKU fulfillment environment. If you want to see your work translate directly into P&L impact — fewer wasted steps, lower cost-per-unit, faster throughput — we'd love to meet you.

Requirements

  • Bachelor's degree in Industrial Engineering or related engineering discipline
  • Lean Six Sigma certification (Green Belt minimum; Black Belt or Master Black Belt preferred)
  • 5+ years of experience in process optimization and continuous improvement
  • Proven hands-on experience in e-commerce fulfillment, 3PL, or high-volume manual assembly environments (kitting, bundling, packaging)
  • Highly analytical with the ability to translate raw data into actionable strategies
  • Strong root cause analysis skills and a track record of resolving bottlenecks through structural and layout improvements
  • Comfortable on the warehouse floor — this is not a desk-only role

Responsibilities

  • Identify and eliminate non-value-added activities across all warehouse zones
  • Conduct floor-level time-and-motion studies to establish baseline labor standards and standardized work procedures
  • Analyze high-volume kitting and assembly workflows to break through labor bottlenecks in manual packaging (shrink-wrapping, boxing, bundling)
  • Optimize line-balancing, ergonomics, and component presentation to minimize operator reach, wait, and walk time across 8,000+ SKUs
  • Redesign pack stations, slotting logic, and pick paths to reduce travel time and eliminate unnecessary forklift and pedestrian movement
  • Map physical labor flow against our digital systems (WMS) to identify gaps where software limitations force manual workarounds
  • Build poka-yoke (error-proofing) guardrails to ensure inventory flows without manual intervention or rework
  • Partner with Operations leadership to measure and report cost-savings metrics, translating physical efficiency gains into lower operational labor cost-per-unit
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