Job Openings Mechanical SIE

About the job Mechanical SIE

Key Responsibilities

  • Drive mechanical part carbon fiber vendors quality expectations and interact with material planning, new product development and global supply management teams
  • Responsible for following the Ok2X process (Ok2Tool / Ok2Build / Ok2Ship) and managing vendor deliverables to meet the schedule
  • Perform on-site vendor audits and perform root cause analysis, corrective action implementation at vendor sites
  • Drive part qualification process by ensuring documentation is completed on-time to the required extent and approve changes to supplier related documents
  • Lead supplier assessments for new vendors, travel to vendor locations and assess technical capability and capacity
  • Lead OQC activities at vendor sites and be responsible for Ok2Ship approval to final manufacturing location

  • Requirements:
  • 8 years of relevant work experience including experience in manufacturing environment, especially aviation products.
  • Familiar carbon fiber manufacture process is a plus
  • Experience with plastic, machining, CNC, laser etching, assembly, tooling, molding etc
  • Able to review measurement SOP and measurement jig qualifying or improving driving.
  • Good English communication skills.
  • Good knowledge in QCP, MSA, SPC, GD&T, APQP, PPAP, etc.
  • Good schedule management skill and ability to follow up with supplier to monitor progress
  • Good knowledge and experience in quality control (cosmetic, dimensional, functional), familiar with IQC/IPQC/OQC/OBA
  • Careful and patient person, good ability to write and check reports.
  • Technical expertise in DFM for at least 1 of the following (mold flow simulation, machining / inspection fixture design, metrology (cmm / omm programming and inspection), process dfm for assemblies etc)
  • Familiarity with low volume - high variety manufacturing parts and processes
  • Proficiency in CAD software to review drawings, parts and assemblies
  • Ability to use statistical tools & software for data analysis