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Optical Engineers at KLA will troubleshoot and refine optics modules for imaging systems, develop and maintain related procedures and specifications, and provide training to manufacturing and service teams. They must have a solid understanding of optics theory and preferably experience with design software and statistical analysis.

Optical Engineers at KLA work on troubleshooting and refining optics modules and manufacturing processes, specifically for deep-UV imaging systems. Responsibilities include developing procedures, test fixtures, and training teams on optics build and testing. A solid understanding of optics theory and experience with design software is crucial.

As a Field Application Engineer at KLA, you will provide technical support for wafer inspection products, develop application recipes, and ensure product adoption. Responsibilities include managing projects, maintaining customer communication, and assisting in pre-sale support. You will also analyze tool performance and collaborate with various teams to meet customer requirements.

The Algorithm Engineer at KLA will focus on creating advanced algorithms for optical metrology products used in semiconductor manufacturing. The role entails applying software engineering principles to enhance product performance and yield effectiveness, contributing to the development of cutting-edge technologies in a collaborative environment.

The Research Scientist will perform electromagnetic simulations and develop next-generation solvers. Responsibilities include interfacing with customers, providing evaluations to internal teams, and working with contractors. A strong background in applied mathematics and electromagnetics, along with proficiency in C++, is required.

The Field Applications Engineer provides technical support for KLA products in customer fabrication facilities, assisting sales in evaluating customer needs, preparing product specifications, implementing installation plans, and offering follow-up technical information. The role involves developing new applications and best practices to enhance product value while ensuring customer satisfaction through effective communication and problem-solving.

The Software Engineer will build and maintain infrastructure for HPC solutions and develop machine control and business logic solutions. Candidates will work on data management, machine learning, and deep learning. Strong skills in C/C++ and Python are required, with a focus on multi-threaded systems and object-oriented design.