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Intel Ocotillo Technology Fabrication Yield Module Engineering Graduate Intern 
United States, Arizona, Phoenix 
220170424

05.08.2024

Job responsibilities may include, but are not limited to:

  • Partnering with a team of engineers to design experiments aimed at continuous improvement activities, which range from yield enhancement, defect reduction, cost reduction, and productivity / output improvement
  • Performing detailed data analysis using various statistical/data mining tools to identify the root cause of defect/yield/quality issues
  • Identifying exclusionary or baseline sources of defects and recommending/leading corrective actions/fixes.
  • Creating quality systems to simultaneously increase productivity and quality output
  • Ensure the manufacturing process is producing transistor and discrete electronic devices that perform according to strictly defined specifications
  • Upskill peers on their areas of expertise through sharing forums
  • Engage in creative problem-solving skills and lateral thinking (the solving of problems by an indirect and creative approach, typically through viewing the problem in a new and unusual light) desired to help deal with the high level of ambiguity that is associated with the problems often encountered in the job role.

The ideal candidate should exhibit the following behavioral traits:

  • Solid analytical skills and a passion for data analysis and problem solving.
  • Strong organizational skills with an attention to detail.
  • Excellent communication and presentation skills to influence a wide variety of groups at all levels
  • High level of personal integrity with a positive attitude
  • Willingness to contribute to a team, or take the lead as needed

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:

  • Must be an actively enrolled and progressing as a student pursuing a Masters of science or Doctoral degree in Chemical Engineering, Electrical Engineering, Material Science, Microelectronics Engineering, Optical Engineering, Physics or related field.
  • Must possess and maintain a minimum GPA of 3.0 for the duration of the internship.
  • Must maintain full-time student status during internship (minimum 12 credit hours /semester).

Preferred Qualifications:

  • Statistical Data Analysis. Examples include: JMP/JSL, Python, Machine Learning.
  • Knowledge of Design of Experiment DOE principles.
  • Statistical Process Control SPC Theory.
  • Physics of Semiconductor Materials.
  • Semiconductor fabrication and processing techniques Lithography, Etch, CMP, Thin Films, Plating, etc.
  • Materials Analysis techniques such as SEM, TEM, EDX, SIMS, XPS, XRD, FTIR or Auger.
  • Programing Experience: Preferred languages include, but are not limited to: Python, C#, JSL.
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing BenefitsThis role will require an on-site presence.