Applications Engineering Intern
KLA
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree
- Must know
- TroubleshootingCustomer serviceMachine learningData analysis
- Work
- On-site in Milpitas · internship
- Pay
- Not stated by the employer.
- Skill demand
- Troubleshooting48%Data analysis19%Customer service13%Machine learning6%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 7, 2026 · still open
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About the Role
- Assist in the development, release, and support of KLA’s Film/OCD Metrology products.
- This role is critical to advancing technology and solving complex customer challenges through deep technical understanding and innovative problem-solving.
Key Responsibilities
- Assist in the development and release of advanced Film/OCD Metrology products.
- Develop a deep understanding of customer applications and use cases.
- Translate customer challenges into actionable problem statements.
- Design and execute data collection plans to support product development and troubleshooting.
- Analyze data and recommend corrective actions or design improvements.
- Communicate effectively through oral presentations, written reports, meeting minutes, and project summaries.
- Collaborate cross-functionally with engineering, applications, and customer support teams.
Requirements & Tech Stack
- Bachelor’s or Master’s degree in Physics, Electrical Engineering, Materials Science, or a related field.
- Strong analytical and problem-solving skills.
- Excellent communication skills—both written and verbal.
- Ability to work independently and in a team environment.
Preferred Qualifications
- Experience in semiconductor metrology or related technologies.
- Familiarity with thin film/OCD characterization techniques.
- Prior experience working with customers or in a customer-facing role.
About KLA
- Provides advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible.
- Works with technologies including electron and photon optics, machine learning, and data analytics.