Semiconductor Applications Engineer Intern

KLA Corporation

Ann Arbor (MI)

On-site

USD 37,000 - 66,000

Part time

10 days ago

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Benefits offered by this job

Medical insurance
401(k) with company matching
Employee stock purchase program (ESPP)
Tuition reimbursement
Paid time off

Job summary

KLA Corporation is seeking an intern in Ann Arbor, MI who will help advance business priorities by delivering data-driven insights. You will work with Applications, Algorithm and Software teams to study current methods, perform proof-of-concept analyses, and explore alternative approaches using large data sets.

The role requires pursuing a degree in physics, mathematics, materials science, or engineering, plus strong Python/MATLAB skills, Excel data analysis capabilities, and solid

Qualifications

  • Pursuing a Bachelors, Master’s or PhD degree in Physics, Mathematics, Material Science or Engineering
  • Excellent proficiency of data analysis techniques in Excel or other plotting S/Ws such as JMP or Origin
  • Proficiency in Python, and/or MATLAB applications
  • Excellent communication and interpersonal skills
  • Motivated to learn new skills independently.

Responsibilities

  • Deliver high-impact work across your area of expertise to advance business priorities.
  • Collaborate with cross-functional teams to study and improve methodologies.
  • Perform proof of concept of new methodology with existing data and determine correlations across data sets.

Skills

Python
MATLAB
Excel data analysis
Data visualization
Strong communication

Education

Pursuing Bachelors/Masters/PhD in Physics/Mathematics/Materials/Engineering

Tools

JMP
Origin

Job description

KLA Corporation is seeking an intern in Ann Arbor, MI who will help advance business priorities by delivering data-driven insights. You will work with Applications, Algorithm and Software teams to study current methods, perform proof-of-concept analyses, and explore alternative approaches using large data sets.

The role requires pursuing a degree in physics, mathematics, materials science, or engineering, plus strong Python/MATLAB skills, Excel data analysis capabilities, and solid

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