Module Process Engineer

Intel Intel · Semiconductors · Leixlip, Ireland

Module Process / Equipment Engineer at Intel Ireland supporting development and high-volume manufacturing of advanced semiconductor technologies. Responsibilities include ownership of module/equipment performance, qualification, monitoring, continuous improvement, preventative maintenance, troubleshooting, and partnering with cross-functional teams to solve technical challenges and improve operational performance. Requires a Bachelor's/Master's in Engineering/Science with 0-4 years of experience, strong interest in semiconductor manufacturing, and analytical/problem-solving skills.

What you'd actually do

  1. Support the transfer of new process/automation technologies from Technology Development into High Volume Manufacturing.
  2. Take ownership of module and/or equipment performance, including qualification, monitoring, and continuous improvement.
  3. Help maintain high levels of equipment availability and process performance to meet safety, quality, output, and cost targets.
  4. Support preventative maintenance strategies, troubleshooting activities, and implementation of equipment or process upgrades.
  5. Use data analysis and structured problem-solving methods to identify issues, improve process capability, and reduce variation.

Skills

Required

  • Bachelor's, Master's, or equivalent qualification in Engineering or Science discipline
  • 0-4 years of relevant work experience
  • Strong interest in semiconductor manufacturing, process engineering, or equipment engineering
  • Analytical and problem-solving skills
  • Ability to use data to identify trends and support decision-making
  • Good communication and teamwork skills
  • Ability to work effectively across multiple disciplines
  • Proactive approach to learning and continuous improvement

Nice to have

  • Knowledge of semiconductor manufacturing processes or high-volume manufacturing environments
  • Experience through internships, university projects, research, or placements in process engineering, equipment engineering, manufacturing, or related technical areas
  • Familiarity with statistical analysis, experimental design, or structured problem-solving methodologies
  • Experience working with data analysis tools, technical reporting, or process/equipment performance monitoring
  • Familiarity with data automation tools or custom scripts used to extract, clean, and analyze manufacturing data (Python, SQL, MATLAB, R, VBA, Shell scripting, BASH)
  • Awareness of safety, quality, and operational excellence principles in an industrial environment