Mechatronics Engineering Internship

KLA•Milpitas, CA

1d•Onsite

About The Position

This is a summer internship role focused on advanced mechatronics systems within the Metrology division at KLA. The intern will gain hands-on experience in a corporate environment, solving real-world problems by developing custom control systems for high-precision wafer stages. The goals will be tailored to the intern's education and experience levels. KLA provides advanced inspection tools, metrology systems, process solutions, and computational analytics that enable the electronics industry. The company tackles complex challenges from electron and photon optics to machine learning and data analytics, aiming for perfection at the fundamental level of matter. They seek individuals who want to make electronics that push industries forward and improve the world.

Requirements

Currently enrolled in a Ph.D. OR Master's Level Degree with a minimum of 3.5 GPA.
Knowledge of Matlab for data analysis and control development.
Knowledge of building GUIs in Matlab.
Experience in any one of the following areas: System Dynamics and Identification, Signal processing, Predictive Maintenance, Modeling of mechanical systems.
Experience in the validation of hardware systems.

Nice To Haves

A Master's degree is preferred in electrical, robotics, control systems, mechanical engineering, data science or related field.
Hands-on experience in the lab is preferred.

Responsibilities

Collaborate and work with design engineers to design advanced metrology systems.
Work independently on data collection, analysis, and managing projects.
Perform hands-on work with hardware and gather the necessary data in the lab or the cleanroom.
Present the technical analysis in both verbal and written format and presentations to the team.
Work in specified timelines and milestones.
Willingness to take on responsibility and ability to quickly ramp from the existing documentation and on-job training.
Identify any gaps and propose solutions in the implementation.
Ability to modify tuning algorithms, design and update machine learning algorithms.
Use first principles in the design work when needed.