Qualcomm

Process Engineer

Qualcomm
Fabless SemiconductorSingapore, Central Singapore, SingaporeFull-time1 months ago

About the role

AI summarised

Process Engineer at Qualcomm, a semiconductor technology company, responsible for driving cost reduction, quality improvements, and process control in a cleanroom manufacturing environment. The role involves monitoring SPC charts, updating FMEA and OCAP, and training technicians.

FablessFull-timeHardware Engineering

Key Responsibilities

  • Drive/contribute in cost reduction, weed out unwarranted expenses/wastages, find alternative sources and improve processes with innovative solutions to raise efficiency.
  • Drive/contribute in quality investigations and continuous improvement programs to resolve chronic process and quality issues, and institute permanent resolutions to assure product quality and enhance process robustness.
  • Enforce on line controls and execution to conform to work instructions and procedures. Apply hands-on and with deep involvement at work.
  • Monitor and analyse SPC charts and drive process control improvements.
  • Effective and timely disposition of on hold lots.
  • Regular reviews of OCAP, FMEA and Control Plans.
  • Ensure timely update of procedures and effective implementations.
  • Guide and train technicians in processes and problem solving and analysis to build up their technical competencies and achieve self-sustenance.
  • Take accountability of work and possesses strong sense of responsibility and team work.
  • Ensure non-conformance is dealt with in a proper and effective manner.
  • Establish, review and perform regular update of FMEA, OCAP, Process control, Risk Assessment and SIPOC on all critical processes to ensure a robust process.
  • Compliance with CSR, EHS, QM, ESD, 5S standard and cleanroom protocol.

Requirements

  • Minimum Bachelor's degree in Physics / Chemistry / Material Science / Electronic or Electrical Engineering or equivalent.
  • Knowledge on semiconductor process technology.
  • Possess strong technical competencies in his field of study.
  • Good knowledge of statistical and quality tools.
  • Able to work under pressure and with strong commitment at work.
  • Experience with software applications such as MS Power Point, Excel and Word.