Offer summary

Qualifications:

Pursuing a Bachelor’s, Master’s, or PhD in relevant fields such as Materials Science, Engineering, or Data Science., Strong understanding of statistical and data science techniques, including Machine Learning and AI., Experience in software development or semiconductor processing is preferred., Good academic standing with a GPA of 3.5 or above. .

Key responsabilities:

Develop and test data science software prototypes for semiconductor process tools.

Implement Python scripts to apply key data science concepts.

Analyze advanced algorithms and create user interfaces for global application testing.

Present findings to a technical audience and contribute to publishing research.

Job description

Applied Materials, Inc. is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future.

Applied Materials’ Advanced Service Engineering Department is searching for an intern to join our team in Spring 2025! ASE develops and applies techniques differentiating Applied Service offerings using semiconductor process data. The team develops, tests and analyzes advanced algorithms, and also works on developing the key user interfaces which will allow these applications to be scaled worldwide at service sites. The position will entail the following:

The position requires developing data science, control solutions and software ideas / techniques that differentiate Applied Service offerings using semiconductor process data. The person will develop, test and analyze advanced algorithms, and implement those solutions with prototype user interfaces which will allow these applications to be tested worldwide at service sites. The position will entail the following:

Assist in developing data science software prototypes and interfaces for monitoring semiconductor process tools using Smart Manufacturing techniques such as Predictive Analytics and Digital Twin
Develop Python scripts to implement key concepts;
Knowledge and application of statistical / data science techniques, including both conventional Machine Learning, i.e., decision trees, regression, and Artificial Intelligence, i.e., neural nets
Ability to comprehend recent AI/ML papers and provide steps to reproduce similar results
Ability to present findings to technical audience and publish papers

Student must be pursuing a Bachelor’s, Master’s or PhD degree program in Materials Science & Engineering, Mechanical Engineering, Chemical Engineering, Chemistry, Physics, Data Science, Computer Science, Electrical Engineering
Student must be in good academic standing at their university, with a GPA of 3.5 or above on a 4.0 scale
Experience in software development, or semiconductor processing or manufacturing preferred
Quick learner

Qualifications

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Additional Information

Time Type:

Full time

Employee Type:

Intern / Student

Travel:

Relocation Eligible:

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.

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