Who We Are
Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future.
At Applied, we prioritize your well-being and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our Benefits.
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What You'll Do
We are seeking a motivated and detail-oriented Process Modeling and Optimization Intern to join our team. This internship offers a unique opportunity to learn about Machine Learning (ML) and Artificial Intelligence (AI) in the Semiconductor Industry. Your day to day will be working at the intersection of data science and materials engineering. The successful candidate will aid in the process development not just for one group, but for each of the other business units in the Boise, ID site.
Role Responsibilities:
- Collaborate with multiple teams within Applied Materials to drive ML/AI applications.
- Identify similarities and differences between teams and how ML/AI solutions can be utilized within those teams appropriately.
- Document Best Known Methods based on team specific needs.
- Analyze data efficiently and communicate analysis outcomes.
- Perform statistical modeling to assist in process optimization.
Qualifications:
- Currently pursuing a degree in Electrical Engineering, Materials Science, Physics, or a related field.
- Strong analytical skills and proficiency in data analysis software (e.g., MATLAB, Python, R).
- Excellent communication and teamwork skills.
- Attention to detail and a proactive approach to problem-solving.
Preferred Qualifications:
- Experience with plasma physics is ideal
- Strong hardware aptitude
- Familiarity with statistical process control (SPC) and design of experiments (DOE).
- Interest in Machine Learning (ML)
Applied Materials is an Equal Opportunity Employer committed to inclusion 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. To learn more about our commitment to DEI visit the Applied Materials Inclusion page.
Qualifications
Education:
Bachelor's Degree
Skills
Certifications:
Languages:
Years of Experience:
Work Experience:
Additional Information
Shift:
10-Day 8-Hr (United States of America)
Travel:
Yes, 10% of the Time
Relocation Eligible:
Yes
Referral Payment Plan:
None
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.