Drimva

Intel

Senior Advanced Packaging Defect Inspection Engineer

$115K–$220K

US, Oregon, Hillsboro · Senior · Full-time · Posted Sep 25, 2026

Experience
Bachelor's degree route: 4+ years of relevant experience; master's degree route: 2+ years; PhD route: no minimum years stated. Preferred: PhD and 3+ years of experience in a relevant field.
Education
Bachelor's, master's, or PhD in materials science, electrical engineering, mechanical engineering, chemical engineering, physics, chemistry, or a related STEM field.

About the job

Develops and qualifies metrology and inspection capabilities for advanced packaging programs, while setting the technology roadmap and supporting fab performance and process control.

What you'll do

  • Lead metrology module development, equipment qualification, and fab readiness across advanced packaging programs.
  • Set the long-range metrology roadmap using industry trends, program needs, and supplier collaboration.
  • Support fab operations, resolve metrology-related process issues, and work with AI and process-control teams on monitoring and excursion detection.

What they ask for

  • Bachelor's degree in a listed STEM field with 4+ years of relevant experience; OR a master's degree in the same fields with 2+ years; OR a PhD in the same fields.
  • Relevant experience in semiconductor processing, wafer-level assembly, or cleanroom environments.
  • Proficiency in process development methodologies, statistical process control, and manufacturing process improvement.
  • Technical expertise in module engineering or fab process/hardware technology development.

Nice to have

  • Strong metrology fundamentals and development experience; cross-functional collaboration; or data-analysis skills for process optimization.
  • Experience with packaging processes, equipment automation development, project management, Python, Dashboard Creation, Scripting, or technical metrology-vendor roadmap engagement.

Pay

$115,110.00-219,550.00 USD (target compensation; base salary or total pay not specified)

Tools

statistical process control, Python, Dashboard Creation, Scripting, AI, machine learning, advanced process control

AI focus

Collaborate with AI and machine learning teams on intelligent monitoring and excursion detection, moving toward predictive, context-aware process control.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)