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Install Automation Engineer Intern

Job ID
R2514429
Date posted
06/16/2025
Location
Santa Clara, California
Category
Interns

Responsibilities:

  • Use python and other applications to build procedures into automated scripts
  • Build and train models with Mayan software
  • Train and test automated scripts on simulators and on our platforms 
  • Generate 3D OMS with instructions 
  • Writing code to automate system install tasks
  • Training models to mine data from SAP

Minimum Qualifications:

  • Must be pursuing a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Computer Engineering or a related major from an accredited university or college and available to start Summer 2025 full time, and remain part time until at least December 2025.
  • Demonstrated experience in collaborative environments, whether through academic projects or professional roles, with an understanding of team dynamics.
  • Understanding of ML/CV libraries such as TensorFlow, NumPy, Pandas, Scikit-learn, OpenCV
  • Must have academic or industry experience using languages and databases such as Java, Python, HTML, CSS, MySQL

Preferred Qualifications:

  • Experience or academic courses in the following: Machine Learning, Time-Series Forecasting, Data Structures & Algorithms, Neural Networks, Software Engineering, High-Performance Computing 
  • Demonstrated practical experience and involvement in software engineering project activities, showcasing practical application of computer science concepts and problem-solving skills, whether through academic projects or professional endeavors

Qualifications

Education:

Skills

Certifications:

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Years of Experience:

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Additional Information

Shift:

10-Day 8-Hr (United States of America)

Travel:

Relocation Eligible:

No

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.