Senior Industrial EngineerNew$149K

Morrisville, North Carolina, United StatesManufacturing

The opportunity

Anduril Industries is a defense technology company with a mission to transform U. S.

What you'll do

  • Produce and maintain capacity models, balanced line layouts, and production: ramp plans to define labor planning, capex requirements, workstation design, and throughput gaps

  • Design effective facility layouts and production lines using CAD and: simulation which meet process requirements, enable production targets, optimize resource allocation and material flow, and maximize productivity and quality, both for low rate and full rate production

  • Identify and champion improvements to key causes of high variability or: production bottlenecks, driving actions to resolution across disciplines and stakeholders

  • Translate and drive action from metrics, KPIs, and reporting associated with: monitoring production line health and efficiency, such as cycle time, throughput rate, capacity, utilization, and first pass yield

  • Analyze manufacturing health to support decisions impacting Engineering: (cut-in dates for new designs), Supply Chain (signals on what to buy), Manufacturing (signals on being clear-to-build and what to build), and Growth (supply overview to drive commitments to demand)

  • Communicate effectively, using graphic and analytical tools, to support: collaborative decisions and to report status with clarity and relevance

What they're looking for

  • Prior work designing and/or setting up new production lines or factories -: from process mapping through to collaborating with infrastructure design partners and detailed work station design
  • Skilled at handling large data sets, including filtering, identifying trends, and graphical representation
  • Knowledge of design engineering and manufacturing engineering processes including:
  • D CAD design/modeling of parts and assemblies
  • D factory layout
  • Manufacturing process planning of fabricated parts, and complex discrete assembly process
  • Manufacturing simulation of assembly processes, human ergonomics, and discrete event simulation
  • Strong manufacturing data analytics and statistical analysis background with: proficiency in statistical process control