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The role involves developing advanced software algorithms for the semiconductor manufacturing process, focusing on modeling, data analytics, and process control solutions to enhance efficiency and innovation in chip design.

KLA is seeking a Software Engineer to develop and enhance software solutions within the Optical Metrology Division, which focuses on advanced measurement systems for semiconductor manufacturing. The candidate will work on innovative products to improve measurement accuracy and compatibility with existing systems.

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.

Design and improve existing software, analyze complex problems, ensure robust and scalable code, manage technical risks, provide technical expertise, and participate in requirements definition.

The position involves supporting CI/CD infrastructure, automating builds, and maintaining build scripts. Responsibilities include collaborating with software development to improve pipelines, managing source code using GIT/GitHub, and supporting deployment activities with Docker and RPM. The role requires strong knowledge of virtualization and configuration management tools as well as scripting in multiple languages.

The Associate Software Engineer at KLA will work within the Global Products Group, contributing to software development for semiconductor manufacturing systems. The role focuses on innovation, collaboration with a team of experts, and solving complex problems related to imaging and defect detection in semiconductor devices.

The DevOps Engineer will support CI/CD infrastructure, automate builds, and enhance configuration management activities. Key responsibilities include maintaining build scripts, collaborating with developers to improve the pipeline, supporting source code management tools, and deploying applications using containers. Experience with tools like Jenkins, Docker, Azure, and AWS is essential.