Process Engineer Summer 2027 Intern
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What you'll do
- Design and conduct process DOEs for process optimization
- Analysis and data assimilation of tool signal data and metrology results.
- Supervised work on plasma diagnostics and integration of diagnostic signals with tool and metrology data.
- Construct reduced order models (ROMs) of chamber hardware and validate with tool signal data.
- Simulate EM fields and plasmas using commercial codes.
- Supervised work in TEL lab including sample preparation and data collection
What they're looking for
- Enrolled in one of the following fields: Physics, Materials Science, Mechanical, Electrical, or Chemical Engineering
- Knowledge of Design of Experiments (DOE), statistical methods, computer aided design (CAD), and computational plasma/fluids simulation tools
- Graduate level (M.S. or Ph.D.) preferred, strong candidates who are rising Junior or Senior level; Bachelor’s level students in the named fields will be considered
Nice to have
- Knowledge of Design of Experiments (DOE), statistical methods, computer aided design (CAD), and computational plasma/fluids simulation tools are highly desired
- Skills in coding and applying machine learning/AI techniques to accelerate learning and productivity are also strongly desired
- Prior experience working on thin films and/or in a cleanroom environment is a plus
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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Job Description
Summer 2027 Internship
Duration: Monday, May 17th- August 20th, 2027
Location: San Jose Office (CA)
What You Can Expect:
Meaningful Project Work: Every Intern is assigned a project that delivers value to the business.
Lean Thinking: Interns are expected to apply Lean principles and continuous improvement thinking throughout their project work; Lean training and resources will be provided.
Our Goal is to provide interns with meaningful, hands-on experiences that contribute to business objectives while supporting their professional development
TEL Silicon Valley (San Jose Site) Thin Films development team seeks a process engineering intern. The ideal candidate should be enrolled in one of the following fields: Physics, Materials Science, Mechanical, Electrical, or Chemical Engineering. Knowledge of Design of Experiments (DOE), statistical methods, computer aided design (CAD), and computational plasma/fluids simulation tools are highly desired. Skills in coding and applying machine learning/AI techniques to accelerate learning and productivity are also strongly desired. Passion for technology; and strong collaboration, communication, and teamwork skills will benefit the candidate in this research and development-oriented laboratory environment.
Duties and Responsibilities
The statements below describe the essential duties of the person or persons assigned to this job. They are not intended as an exhaustive list of all job duties and responsibilities.
- Design and conduct process DOEs for process optimization
- Analysis and data assimilation of tool signal data and metrology results.
- Supervised work on plasma diagnostics and integration of diagnostic signals with tool and metrology data.
- Construct reduced order models (ROMs) of chamber hardware and validate with tool signal data.
- Simulate EM fields and plasmas using commercial codes.
- Supervised work in TEL lab including sample preparation and data collection
Minimum Qualifications (Education, Experience, Certification, & Licensure)
Graduate level (M.S. or Ph.D.) preferred, strong candidates who are rising Junior or Senior level; Bachelor’s level students in the named fields will be considered: Physics, Materials Science, Mechanical, Electrical, or Chemical Engineering. Knowledge of Design of Experiments (DOE), statistical methods, computer aided design (CAD), and computational plasma/fluids simulation tools
Prior experience working on thin films and/or in a cleanroom environment is a plus
Diversity creates an innovative culture. TEL US is an Equal Employment Opportunity / Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
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