Module Development Engineer

Intel Intel · Semiconductors · Oregon, Hillsboro, United States

Module Development Engineers at Intel lead scientific research for semiconductor manufacturing, focusing on developing and optimizing processes, materials, and equipment for innovative device architectures. This role involves feasibility studies, roadmapping, and collaboration with suppliers to drive technology development for both current high-volume manufacturing and future products. The position requires a strong background in semiconductor processing, device physics, and materials science, with experience in areas like ALD, CVD, etch, and metrology.

What you'd actually do

  1. Drives technology development and enablement for both high volume manufacturing and future technology, provides process integration and equipment solutions, and performs feasibility studies to meet desired device specifications
  2. Leads design and development of technically sophisticated manufacturing processes and/or repair reverse engineering including material selection, parameter optimization, equipment metrology, and system design to enable new product designs and functional requirements
  3. Performs pathfinding activities in support of process and hardware development enabling manufacturing of innovative device architectures, and develops roadmaps for technologies enabling future roadmap
  4. Recommends and implements modifications for operating equipment to improve production efficiency, manufacturing techniques, and optimizing production output for existing products
  5. Partners with key equipment and materials suppliers to develop and implement enabling elements of the technology

Skills

Required

  • Bachelors degree in Materials Science, Chemical Engineering, Chemistry, Physics, Electrical Engineering, or a related Scientific STEM field of study with 4+ years of Semiconductor Industry experience
  • Masters degree in Materials Science, Chemical Engineering, Chemistry, Physics, Electrical Engineering, or a related Scientific STEM field of study with 3+ years of Semiconductor Industry experience
  • PhD degree in Materials Science, Chemical Engineering, Chemistry, Physics, Electrical Engineering, or a related Scientific STEM field of study with 1+ years of Semiconductor Industry experience

Nice to have

  • 5+ years of experience in one of the following areas (more than one is preferred)
  • Semiconductor and transistor device physics
  • Advanced transistor device structures and architectures including fabrication (Atomic Layer Deposition, Chemical Vapor Deposition, Rapid Thermal Annealing, Ion Implantation, Surface treatments and modification) with in-depth knowledge of semiconductor device physics and process integration
  • Semiconductor processing fundamentals (lithography, wet etch, dry etch, chemical and or mechanical polishing, etc.)Design of experiments
  • Expertise in Materials and physical device characterization (SEM, TEM, etc.) and fundamentals of semiconductor device testing
  • Experience with using inline advanced metrology for materials characterization
  • Process control systems, methodologies, sources of variability, and statistics
  • Experience leading projects and cross-functional teams encompassing qualifications listed above

What the JD emphasized

  • Semiconductor Industry experience (semiconductor processing and semiconductor fabrication)
  • Semiconductor and transistor device physics
  • Advanced transistor device structures and architectures including fabrication (Atomic Layer Deposition, Chemical Vapor Deposition, Rapid Thermal Annealing, Ion Implantation, Surface treatments and modification) with in-depth knowledge of semiconductor device physics and process integration
  • Semiconductor processing fundamentals (lithography, wet etch, dry etch, chemical and or mechanical polishing, etc.)Design of experiments
  • Expertise in Materials and physical device characterization (SEM, TEM, etc.) and fundamentals of semiconductor device testing
  • Experience with using inline advanced metrology for materials characterization
  • Process control systems, methodologies, sources of variability, and statistics