Applications Development Engineering Intern - BBP

KLA•Milpitas, CA

1d•Onsite

About The Position

The Semiconductor Products and Customers (Semi PC) business unit designs, builds and sells KLA’s product portfolio to help chip manufacturers meet high-quality standards for technologies like AI, data centers, automotive and electronic devices. Our inspection, metrology, and analytics systems detect and monitor defects across logic and memory chips, specialty semiconductors, wafers, reticles, advanced packaging, process equipment and materials. We also develop technologies for specialty processes, IC substrates, and PCB manufacturing, including etch and deposition, component inspection, and imaging and analytics. The Broadband Plasma (BBP) division is the market-leading optical inspection system used by logic, foundry, and memory customers to detect critical defects at advanced nodes. These tools combine broadband plasma technology with unmatched sensitivity and speed to support high-volume manufacturing. In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. The right candidate will be dynamic, upbeat individual who is very passionate about delivering rich and powerful solutions that drive meaningful decisions, quality, and significant improvement in business results.

Requirements

Creative thinker with good problem-solving abilities
Working with large data sets
Excellent proficiency of data analysis techniques in Excel or other plotting S/Ws such as JMP or Origin
Proficiency in Python, and/or MATLAB applications
Excellent communication and interpersonal skills
Motivated to learn new skills independently.
Be willing to travel 50% - 70% if chosen for a full time role in the future

Nice To Haves

Knowledge of semiconductor process or any relevant course work or previous internships in the semiconductor industry

Responsibilities

Work together with GPG business functions such as Applications, Algorithm and S/W teams to perform proof of study with an end goal of attempting to improve existing methodologies
Interact with team members to thoroughly understand current methods and collaborate with a cross-functional team to study a different methodology
Proof of concept of new methodology with existing data
Determine correlations with existing data sets on a variety of different system configurations